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  • 21 June

    BT/ Facebook plans smartwatch with biometrics

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Mon, Jun 21, 2021 11:44 PM by Paradigm Fund

BT/ Facebook plans smartwatch with biometrics

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Biometrics biweekly vol. 14, 7th June — 21st JuneTL;DRFacebook is considering an innovative design for its upcoming smartwatch with a biometric heart rate monitor and two detachable cameras.Apple has recently showcased the new watchOS 8 for Apple Watch at the WWDC 2021 conference. The update introduces a number of new biometric features, including respiratory rate measurements during sleep tracking in the Breathe app, which is now called Mind.Apple is reportedly testing a new feature on iPhones and other devices allowing users to log in using passkeys with biometric security, the company said at its flagship WWDC conference last week.Samsung announces a skin-mounted, flexible biometric device.New research from Florida State University and Rutgers University scientists has explored the potential of continuous liveness detection for voice biometrics on smart devices.Engineers have developed an integrated circuit that can carry out complicated artificial-intelligence operations like face, voice and gesture recognition and cardiac monitoring. Powered by either a tiny battery or a solar panel, it processes data at the edge and can be configured for use in just about any type of application.Scientists at Facebook and Michigan State University are describing their reverse-engineering method for identifying deepfakes and learning what was used to create them.An AI developer says it has developed a platform on which clients can create, control and profit from their digital DNA — their image, gestures and voice — in synthetic media.The University of Central Florida claims it is preparing the first master’s program in computer vision to be offered by a public university in the United States. Demand for face biometrics skills alone should lure students into classes.Testing standards and biometrics certification needed to combat fragmentation, Fime argues.Intel RealSense eases 3D facial authentication integration for diverse use cases.‘Red Teaming’ approach to biometric spoof attack detection testing discussed by BixeLab.Corsight update promises ‘high-speed, real-time’ facial recognition, multi-channel processing.Biometric smartcard with display developed by Plastic Logic and OneWave.SK Telecom partners with Octatco on biometric security keys with quantum number generation.Fingerprint Cards was awarded a biometric card manufacturing patent in the US.Finnovant partnership brings face and voice biometrics to blockchain governance.Acuant wins crypto selfie biometrics customers as financial service providers address market gaps.AnyVision explores biometrics in food distribution and logistics applications.Fabrick launches a mobile biometric open finance solution with Mastercard APIs.Zwipe and Idex each strike biometric payment card deals in Asia.UK and Australian governments renew investments in digital identity services.Canada engages business groups to establish digital identity standards.Nepal considers $14M biometric national ID card bids from Thales and Idemia.Behavioral biometrics market moves: Elisity raises $26M, D4t4 platform launch, BehavioSec patents.Biometrics industry events. And more!Biometrics MarketThe Biometric system market size is projected to grow from USD 36.6 billion in 2020 to USD 68.6 billion by 2025; it is estimated to grow at a CAGR of 13.4% during the forecast period. Increasing use of biometrics in consumer electronic devices for authentication and identification purposes, the growing need for surveillance and security with the heightened threat of terrorist attacks, and the surging adoption of biometric technology in automotive applications are the major factor propelling the growth of the biometric system market.Biometric Research & DevelopmentLatest Researches:AI system-on-chip runs on solar powerby Swiss Center for Electronics and Microtechnology — CSEMAI is used in an array of extremely useful applications, such as predicting a machine’s lifetime through its vibrations, monitoring the cardiac activity of patients and incorporating facial recognition capabilities into video surveillance systems. The downside is that AI-based technology generally requires a lot of power and, in most cases, must be permanently connected to the cloud, raising issues related to data protection, IT security and energy use.CSEM engineers may have found a way to get around those issues, thanks to a new system-on-chip they have developed. It runs on a tiny battery or a small solar cell and executes AI operations at the edge — i.e., locally on the chip rather than in the cloud. What’s more, their system is fully modular and can be tailored to any application where real-time signal and image processing is required, especially when sensitive data are involved. The engineers will present their device at the prestigious 2021 VLSI Circuits Symposium in Kyoto this June.The CSEM system-on-chip works through an entirely new signal processing architecture that minimizes the amount of power needed. It consists of an ASIC chip with a RISC-V processor (also developed at CSEM) and two tightly coupled machine-learning accelerators: one for face detection, for example, and one for classification. The first is a binary decision tree (BDT) engine that can perform simple tasks but cannot carry out recognition operations.“When our system is used in facial recognition applications, for example, the first accelerator will answer preliminary questions like: Are there people in the images? And if so, are their faces visible?” says Stéphane Emery, head of system-on-chip research at CSEM. “If our system is used in voice recognition, the first accelerator will determine whether noise is present and if that noise corresponds to human voices. But it can’t make out specific voices or words — that’s where the second accelerator comes in.”The second accelerator is a convolutional neural network (CNN) engine that can perform these more complicated tasks — recognizing individual faces and detecting specific words — but it also consumes more energy. This two-tiered data processing approach drastically reduces the system’s power requirement, since most of the time only the first accelerator is running.As part of their research, the engineers enhanced the performance of the accelerators themselves, making them adaptable to any application where time-based signal and image processing is needed. “Our system works in basically the same way regardless of the application,” says Emery. “We just have to reconfigure the various layers of our CNN engine.”The CSEM innovation opens the door to an entirely new generation of devices with processors that can run independently for over a year. It also sharply reduces the installation and maintenance costs for such devices, and enables them to be used in places where it would be hard to change the battery.<a href="https://medium.com/media/3d3144f34eae947bb2060e83115c9fad/href">https://medium.com/media/3d3144f34eae947bb2060e83115c9fad/href</a>A Continuous Liveness Detection for Voice Authentication on Smart DevicesStudy conducted by Florida State University and Rutgers UniversityNew research from Florida State University and Rutgers University scientists has explored the potential of continuous liveness detection for voice biometrics on smart devices.The new paper aims to establish a new level of security for voice biometrics, claiming the technology is particularly vulnerable to spoofing through replay attacks.Replay attacks involve a malicious adversary trying to spoof voice authentication systems by using a pre-recorded voice biometric sample collected from a genuine user.Dubbed VoiceGesture, the liveness detection tool designed by the researchers is intended to work on smart devices like smartphones and smart speakers.The solution is capable of distinguishing a live user from a recording by utilizing both the unique articulatory gesture of the user when they speak a passphrase, as well as the audio hardware advances of smart devices.From a technical standpoint, VoiceGesture repurposes the pair of built-in speakers and microphone on a smart device as a Doppler radar, which in turn transmits a high-frequency acoustic sound from the speaker while also listening to the reflections at the microphone when a user speaks a passphrase.The Doppler shifts resulting from the user’s articulatory gestures are then extracted and used for biometric liveness detection.According to the researchers, VoiceGesture represents a practical solution as it does not require any specialized hardware, working instead via a speaker and a microphone commonly available on smart devices supporting voice input.“Our experimental evaluation with 21 participants and different smart devices shows that VoiceGesture achieves over 99% and around 98% detection accuracy for text-dependent and text-independent liveness detection, respectively,” the researchers said in the introduction to the paper.Additional results showed that VoiceGesture is resilient to different device placements, as well as low audio sampling frequency.The platform also supports medium-range liveness detection on smart speakers in various use scenarios, including smart homes and smart vehicles.Facebook’s AI reverse-engineers models used to generate deepfakesScientists at Facebook and Michigan State University are describing their reverse-engineering method for identifying deepfakes and learning what was used to create them.No one is saying how accurate it is, but an article in VentureBeat quotes researchers from the organizations saying their tactic is “substantially better” compared to chance and “competitive” when compared to other deepfake detection schemes.Biometrics developers NtechLab and ID R&D placed among the leaders in Facebook’s Deepfake Detection Challenge a year ago.Facebook executives chose MSU scientists to collaborate on a way to take a known deepfake from a single still or frame, and reverse-engineer it to identify the tools that created it.Researchers say their idea also would spot coordinated disinformation campaigns involving varied synthetic images from the same source are posted on multiple platforms.A deepfake image is put through a so-called fingerprint estimation network, which flags patterns unique to generative models that created the content. Datasets of fingerprints are used to train models to spot fingerprints that are new, or at least new to a model.Researchers tested their idea using 100 open-source models to create a 100,000 synthetic-image dataset.According to VentureBeat, Facebook has expressed confidence that the tool will work outside of the lab, but the company has not actually started using it as part of its goal to prevent deceptive AI-generated video frames and still images from reaching subscribers.Facebook's AI reverse-engineers models used to generate deepfakesComputer vision master’s program could address some industry illsThe University of Central Florida claims it is preparing the first master’s program in computer vision to be offered by a public university in the United States. Demand for face biometrics skills alone should lure students into classes.Already the home of the Center for Research in Computer Vision, the school expects to open the 30 credit-hour degree this fall. Students will do hands-on research with center faculty.The university boasts that its center has advanced the way mass-crowds are counted, and has created pattern-recognition software capable of identifying lung cancer with 95 percent accuracy. Researchers also have written algorithms that reportedly can differentiate between COVID and the flu in lungs.An article in Verdict, a magazine published by UK technology analysis and consulting firm GlobalData, teases apart the technology and implications of computer vision. The editors point out what should be obvious but too often is not.Computer vision comprises four categories: machine vision, object recognition, video recognition and, naturally, image recognition. That is an important note for would-be investors and those interested in buying systems.A self-inflicted wound like biased programming in facial recognition does not necessarily drag down the dynamics of, say, object recognition.And, in fact, gender and racial bias would be less of a hindrance to acceptance if the biometrics industry could manage its own and market expectations, according to the article.That might be a course worth exploring.Face recognition is just the tip of the AI Computer Vision icebergLegit — and traceable — deepfakes proposedAn AI developer says it has developed a platform on which clients can create, control and profit from their digital DNA — their image, gestures and voice — in synthetic media.The highest-profile example of synthetic media today are deepfakes.The company, Humans, is a startup in Romania. Deepfakes likely will be an illicit reality for the immediate future, but with Humans’ open, permissionless platform, joinhumans.com, people can put out their own branded alternative through which they can be compensated.Offering an example, Humans executives describe listening to a digital novel that is read by a celebrity who contributed their voice print or a video ad starring someone who never set foot on the soundstage.Using a blockchain environment, company executives say they will introduce traceability and transparency to synthetic media. Use of digital DNA for a project must be approved by the creator of the data, and the creator gets decision-making authority over it by the actual person on which the representations are based.Blockchain, through Humans’ proposed proof-of-human consensus mechanism, also verifies that there is a human on which digital DNA is modeled.The company last year reported a €330,000 (roughly US$401,000) placement from Early Game Ventures, Razvan Munteanu and others to develop synthetic media.Romanian start-up Humans launches a biometrics solution for its blockchain-built platform that uses AI to create digital DNAs.New biometric sensor can discern 9 voices in a package small enough for a phoneby The Korea Advanced Institute of Science and Technology researchersGranularity is being brought to acoustic sensors for phones. A team of South Korean researchers have created small, flexible piezoelectric membranes with enough resonant bandwidth to cover the human voice frequency range.The highly sensitive and ultra-thin sensor is modeled after the inner ear’s cochlea, and can be integrated with phones and digital assistant speakers. There, they would support machine learning-based biometric authentication and voice processing.The work was done at Kaist, or the Korea Advanced Institute of Science and Technology. Researchers say the new voice recognition sensor is 70 percent smaller and 20 percent more sensitive than previous versions.Nine registered voices can be identified by the prototype, which Kaist says is ready for commercial applications. The prototype can recognize a registered person based on one training word and one testing word.Beyond being ready for commercial integration, the Kaist researchers are pitching the sensor for use in a Google project, called Wolverine, seeking to separate the voices of people distant from the listening device.Media reports indicate that Wolverine wants to give people not just good hearing, but hearing that surpasses what is experienced by people with excellent hearing.Main News:Facebook plans smartwatch with biometricsFacebook is considering an innovative design for its upcoming smartwatch with a biometric heart rate monitor and two detachable cameras, The Verge reports.The first of them would be a front camera, used mainly for video calls, while the second one — featuring 1080p, and auto-focus capabilities — would be used separately to capture and share footage and photos directly on social media.According to The Verge, Facebook would also be currently looking for external partners to manufacture accessories for attaching the camera hub to backpacks or purses.A first version of the watch will come to the market in white, black, and gold variants, and will reportedly support LTE connectivity to work as a standalone device.In addition, the ‘Facebook Watch’ may be used as a key input device for the company’s upcoming augmented reality glasses.The device is planned for release in the summer of 2022, with an estimated initial price of roughly $400.Facebook plans first smartwatch for next summer with two cameras, heart rate monitorApple watchOS 8 introduces new biometric featuresApple has recently showcased the new watchOS 8 for Apple Watch at the WWDC 2021 conference.The update introduces a number of new biometric features, including respiratory rate measurements during sleep tracking in the Breathe app, which is now called Mind.It is yet unclear what biometric features Mind will feature in the future, but as pointed out by TechRadar, the Apple Watch does not have an Electrodermal Activity (EDA) Sensor, so its stress measurement tests may not be as accurate as ones taken using Fitbit devices, for example.Fairly accurate measurements in this realm could be taken using the Apple Watch ECG (electrocardiography) sensor, however.Also in the update, Apple’s facial recognition algorithms have been improved to allow photo watch faces to include depth using portrait mode photos.Samsung announces a skin-mounted, flexible biometric deviceFitbits and similar biometric monitors are great as far as they go, but going can be a problem. They only work when they are buckled to a wrist.Samsung sees a market there. Company researchers have published a paper describing a theoretically commercial way to stick stretchable portable devices to human skin.The researchers work in the Samsung Advanced Institute of Technology. They claim to have integrated the elastic technology with conventional chip processes. The flat device can be stretched up to 30 percent in any direction.Specifically, they have created a biometric device consisting of a stretchable OLED display and a photoplethysmography sensor. In tests, it was stuck to an inner wrist over the radial artery where it measured and displayed in real time the wearer’s heart rate.The device was stretched 1,000 times and through it all, researchers claim, it was able to deliver a pulse signal on a moving wrist 2.4 times stronger than could a conventional fixed silicon sensor.This result, say researchers, “proves the feasibility of expanding the technology” with other biometric applications.Samsung faces a growing market (of related ideas if not products) when it comes to portable devices that sit next to or adhere to skin.Standalone real-time health monitoring patch based on a stretchable organic optoelectronic system‘Red Teaming’ approach to biometric spoof attack detection testing discussed by BixeLabA workshop held by BixeLab presents an alternative to ISO standards-based biometric system testing focussed on defeating spoof attacks, but also taking into account various aspects of performance.Dr. Ted Dunstone and Stewart Pope spoke about ‘Red Teaming’ in biometrics and how to test various forms biometrics takes in an effective, useful and standardized way.<a href="https://medium.com/media/f78080fd7cd211b22e603f2aff56ba55/href">https://medium.com/media/f78080fd7cd211b22e603f2aff56ba55/href</a>Synthetic biometric data will solve AI’s ills (jk)There is an aspect of AI that is simple and straightforward.It will take years of development and testing, regulatory approvals, top talent, mammoth funding rounds, marketing hype and ethics reviews, but an advanced algorithm will be written to find that aspect.Today, the industry, including biometrics recognition players, is kicking around the idea of creating synthetic data to get around privacy concerns and bias in datasets.While the concept is supposed to work just as well with any data category that can lead to identifying a person or skewing commercial operations — in the financial sector, for instance — this piece looks at biometrics.A new article in MIT Technology Review tackles the counter-intuitive and convoluted topic, and comes down exactly on the fence about how useful the growing technique can be.In one example of how it is being used now, the story describes how the company Datagen hires other vendors to digitally scan volunteers in great detail to train computer vision algorithms.Datagen took $18.5 million in venture funding in March. The Israeli startup ranked well in a recent market analysis by data science firm StartUs Insights.With the raw data in hand, Datagen uses multiple algorithms to create three-dimensional avatars. Except that they are not avatars, despite the fact that each digital bust looks exactly like a common type of clayey or rubbery avatar. (Follow the link above to see.)It is not an anonymization of real data, either. Each synthetic person is built on real biometric data pertaining to a real person — face geometry, irises, body, gait, presumably fingerprints, too.Datagen reportedly is producing face expression to train algorithms that need to spot drowsy or otherwise inattentive driving. In this case, people have consented to being digitized, so there are few or no privacy concerns.Other uses could result in privacy violations when generation techniques so nearly mirror a subject as to make anonymity unlikely. And, as a University of Pennsylvania IT professor pointed out in the article, training data can be attacked the same as any database to reveal actual identities.As for bias, synthetics-populated datasets can be skewed exactly as easily as conventional datasets.As with so many other parts of real life today, there is an app for this problem. It is just a matter of time and money when it will appear on a phone’s home page.These creepy fake humans herald a new age in AICorsight update promises ‘high-speed, real-time’ facial recognition, multi-channel processingCorsight AI has upgraded its flagship biometric software for faster facial recognition processing in real-time implementations, enabling searches of databases with more than a million records in less than ten milliseconds, according to a company announcement.Fortify’s accelerated matching capabilities also include concurrent matching on multiple channels with extensive watchlists for more efficient hardware use and a lower total cost of ownership. Corsight says its facial recognition technology now operates at scale faster than any competitor, optimising utilization and processing for significantly reduced hardware costs.“The new updates to Fortify allow us to run high-speed, real-time video facial recognition across more extensive watchlists than ever before,” comments Ran Vardimon, Ph.D., VP of Research at Corsight. “Previously, this type of system would have required expensive hardware and multiple machines. We’re proud to say that Corsight can now facilitate the process on a single, economical server and offer our customers and partners top of the line performance and cost-efficiency.”The company says its technology is able to identify individuals on watchlists in even the most challenging conditions for biometric matching, including precise accuracy with occlusions like face masks, while preventing false positives.Fingerprint Cards awarded biometric card manufacturing patent in USFingerprint Cards has been granted a biometrics patent by the U.S. Patent and Trademark Office for the design and manufacturing of a capacitive fingerprint sensing module for integration in smart cards.The patent document for the proposed ‘Fingerprint sensing module and method for manufacturing the fingerprint sensing module’ describes the use of a biometric sensing module with electric wire-bonds connecting pads to the external circuitry (to the module) of the device.This technology can help deliver fingerprint biometrics at lower costs suitable to smart cards, FPC says. This is because it supports the “mill and drill” technique currently used in card production, with a conductive inlay laminated at the center of the card.“In presently available smart cards, fingerprint sensor modules can be soldered on an inlay and the card is in turn laminated with the inlay as a center layer and with a cavity in the card upper layer leaving the fingerprint sensor module exposed upon card lamination,” the inventors write.Testing standards and biometrics certification needed to combat fragmentation, Fime arguesFragmentation within the biometric authentication ecosystem has created challenges for developers with interoperability and adaptability, certification and uniform benchmarking, according to a blog post by Fime Authentication Product Manager Jean Fang and Authentication and Biometrics Laboratory Service Line Manager Joël Di Manno.The fragmentation is caused by a lack of standardization, the post authors write, and holds back the biometrics industry in several ways. The market’s rapid rise is expected to continue, but could be restrained if these issues are not dealt with.The global market for facial recognition is expected to reach $13.8 billion by 2028, according to a report from Emergen Research, growing at a 15.7 percent compound annual rate, and other modalities are on similar tracks, the post states.Finding the right balance between security, which is expressed in a low false acceptance rate (FAR), and user experience, which relies on a low false rejection rate (FRR) increasing friction for legitimate users, is one area made more difficult by the market’s fragmentation.Decisions by OEMs about what biometric technology to implement are also made challenging by fragmentation. OEMs are constantly evaluating available solutions, the post says. While OEMs would often be well-served by implementing multiple modalities to account for environmental considerations and high-security applications, and provide flexibility to deal with future changes to industry or regulations, the lack of standardization poses a hurdle.For the dramatic gains in mobile biometrics to be replicated in other sectors, Fang and Di Manno write, companies need to be able to provide security assurances that are founded on standardized testing and certifications.Fime has recently certified biometrics from Keyless to FIDO standards, and from Fingerprint Cards to Mastercard specifications.Biometrics: balancing security with convenience.Shake your head all you want, Russian says head vibrations reveal your thoughtsWhen something as speculative and daring as emotion recognition earns a degree of acceptance in the biometrics industry, even the utterly weird ‘VibraImage’ line of products seems somehow possible.VibraImage is the keystone surveillance line for Elsys Corp. that reportedly can predict a person’s actions and emotions based on the vibrations of their head and neck.Another Elsys product can assess a person’s psychological makeup from a 3-D scan of their 10 fingerprints. Others can hear a person’s “brain voice” via video chat, the company says, and tell when someone is in love.For 21 years, Elsys has been working on a technique to measure how a person’s head moves, but most particularly how it invisibly vibrates. The company’s marketing material claims VibraImage “detects all human emotions” with biometrics based solely on 10 seconds of ordinary surveillance video feed.A research associate with the Alan Turing Institute, writing in The Conversation has a skeptical take on the company’s claims about emotion recognition and sparked the ire of Elsys CEO Viktor Minkin.For reasons that are not clear, Minkin emphatically denies the researcher’s linking of VibraImage and AI. He says, rather, it uses proprietary non-AI software to analyze video frames for miniscule differences caused by blood flow and the micromovements of muscles.Among Elsys’ supporting content are videos that allegedly show actual video feeds showing men and women just before and during committing criminal acts.Most people watching the feeds would make the same judgment as quickly — robbers and shoplifters generally give themselves away even without head vibrations.Of course, few people watch monitors in real time, which would make VibraImage’s alerts useful. Shopkeeps regardless would have to respond to an alert extraordinarily rapidly to prevent a loss or injury.VibraImage, according to Elsys, has already stepped onto the global stage. The software has been used at major sporting and industry events, although it is difficult to corroborate whether systems were deployed strategically or as a demonstration.The company claims it had a significant role in Russia’s 2014 Sochi Winter Olympics. Its marketing states that 1,000 inspectors analyzed 3 million visitors a month with a 95 percent accuracy rate.Biometric smartcard with display developed by Plastic Logic and OneWaveA partnership has been formed by Plastic Logic and OneWave to produce a smartcard with fingerprint biometrics and a thin display for a range of logical access control functions, along with payments.The OneWave card connects to the user’s smartphone through Bluetooth, enabling different cards, such as for loyalty programs or travel programs, with a dedicated mobile app. The card can be used for remote transit ticket purchases, service access, and password authentication, and OneWave is working on adding support for payments processing.A cybersecurity-focussed version of the OneWave card is also being considered to meet enterprise biometric authentication needs.“We are excited about the application of our flexible display technology in OneWave’s connected smartcard,” said Tim Burne, CEO, Plastic Logic. “With global cybersecurity threats increasing, organisations are looking to integrate flexible display technology into their smart cards to not only enhance security, but also provide users with add functionality.”Plastic Logic specializes in the design and manufacture of flexible, glass-free electrophoretic displays (EPDs).SK Telecom partners with Octatco on biometric security key with quantum number generationSouth Korea Telecom (SKT) has launched a keycard featuring fingerprint biometrics and quantum computing technology to provide secure logical access control for a range of sectors including financial services, defense, online administration and smart offices, reports Aju Business Daily.The new EzQuant security key uses quantum random number generation, and was developed by SKT along with its Geneva, Switzerland-based subsidiary ID Quantique, and South Korean biometric authentication startup Octatco. A small quantum random number generator chip generates encoded numbers, which are delivered by a quantum key distributor.The result is a biometric security key in a card form-factor based on FIDO protocols for passwordless authentication. Images included in the report depict a USB connection to a card reader, which the card communicates with through NFC connectivity, according to the report.The partners plan to bring the EzQuant to market in the United States and Singapore this year.These Weeks’ News by CategoriesAccess Control:Apple takes significant step towards biometric passwordless authentication:Using passkeys in iCloud Keychain with Face ID and Touch IDIntel RealSense eases 3D facial authentication integration for diverse use casesDistributors and strategic partners flock to biometrics providersBiometric access control launches, deployments indicate booming marketIDSA survey shows digital identity security investment in next 2 years nearly universalThree flavors of passwordless biometrics; USB key, software, on-deviceSmart Eye, CyberArk, LogMeIn announce new marketplace partnershipsCollege strengthens enterprise security with biometrics, SSO from BIO-key’s PortalGuardDOD’s digital ID and access management tools could be live in a yearBiometric access control demand soars: AnyVision, Idemia, Invixium, QTS, Aware updatesConsumer Electronics:Three flavors of passwordless biometrics; USB key, software, on-deviceSupreme Court suspends Mexico’s biometric registry lawApple takes significant step towards biometric passwordless authenticationSensory extends Apple wake words to third-party smart home devices, different languagesFinancial Services:Zwipe and Idex each strike biometric payment cards deals in AsiaFabrick launches mobile biometric open finance solution with Mastercard APIsFintechs race to adopt biometrics for remote KYCBBVA Mexico claims first contactless biometric payment card from Visa issued in Latin AmericaFingerprint biometrics preferred modality in Philippines digital banking space, Visa survey showsIsorg to demonstrate four-finger biometrics for smartphone payments at MWC 2021Shift to contactless payments continues as vein biometrics, cards partnerships unveiledSionic selects Revelock behavioral biometrics to help financial institutions tackle fraudIndian police nab biometric spoofing gangCivil / National ID:UK and Australian governments renew investments in digital identity servicesLocal digital ID ecosystems begin developing around OSIA open standardsSimprints adds facial recognition to Mozambique land ownership recordsSupreme Court suspends Mexico’s biometric registry lawScottish Government selects partner for digital identity verification serviceUNHCR shared Rohingya biometric data ‘without consent’Biometric registration drive in Kenya for health insurance schemeAngola, Dominican Republic to introduce biometric passports, Ukraine updates issuance progressIdRamp joins Linux’ Cardea as digital health passes evolve and roll outFingerprint biometrics preferred modality in Philippines digital banking space, Visa survey showsJamaica, Cayman Islands mull digital ID for more government services, PhilSys scaling upCanada engages business group to establish digital identity standardsRed Cross issues recommendations for digital ID in humanitarian sectorNepal considers $14M biometric national ID card bids from Thales and IdemiaCameroon unveils new details on biometric passportTogo launches tender for national biometric identification schemeRegula selected to verify digital identity documents for Zamna travel infrastructureGuinea selects Idemia for OSIA digital identity system to drive inclusionApple throws its weight behind mobile driver’s licenses, negotiating with TSAUgandan ID system a ‘national security weapon’ that denies human rights — reportGovernment Services & Elections:Governments and tech companies are ‘gaming the rules’ on biometrics, need hard linesID.me granted US FedRAMP authorization for digital identity verification platformScottish Government selects partner for digital identity verification serviceJamaica, Cayman Islands mull digital ID for more government services, PhilSys scaling upCanada engages business group to establish digital identity standardsNepal considers $14M biometric national ID card bids from Thales and IdemiaTogo launches tender for national biometric identification schemeDOD’s digital ID and access management tools could be live in a yearUK and Australian governments renew investments in digital identity servicesIndian government developing family digital ID, health app sparks consent concernsCanada requests bids to develop biometric management office strategyNigeria biometric voter deduplication removes 16.5MFacial Recognition:Finnovant partnership brings face and voice biometrics to blockchain governanceAcuant wins crypto selfie biometrics customer as financial service providers address market gapsAnyVision explores biometrics in food distribution and logistics applicationsFlurry of biometrics rollouts and partnerships, payment cards to touchless access controlSIA sees trust in supporting role for avoiding biometric moratoriumAsia continues face biometrics investment trend with Facetech and Hanet fundraisesSimprints adds facial recognition to Mozambique land ownership recordsBrazil’s pilot of Idemia face biometrics advances to simultaneous operation at capital airportsCorsight update promises ‘high-speed, real-time’ facial recognition, multi-channel processingUS federal lawmakers reintroduce biometric surveillance moratoriumSITA, NEC and Star Alliance partner to extend touchless biometrics across airlinesStripe launches selfie biometrics to join active identity verification marketComparitech facial recognition report highlights growing, variable global marketFace biometrics draws millions in investment, plus consideration, explanation and criticismClear signs first healthcare partner for biometrics-secured digital health passDialogue informing biometrics regulation just getting started, says Ada Lovelace panelSome in biometric surveillance industry think Uyghur-targeting vendors are getting a passFingerprint Recognition:Flurry of biometrics rollouts and partnerships, payment cards to touchless access controlZwipe and Idex each strike biometric payment cards deals in AsiaBBVA Mexico claims first contactless biometric payment card from Visa issued in Latin AmericaBiometric smartcard with display developed by Plastic Logic and OneWaveSK Telecom partners with Octatco on biometric security key with quantum number generationFingerprint Cards awarded biometric card manufacturing patent in USIsorg to demonstrate four-finger biometrics for smartphone payments at MWC 2021CardLab launches $10M equity offering to fuel biometric card commercializationIndian police nab biometric spoofing gangVoice Biometrics:Researchers explore continuous liveness detection for voice biometricsSensory extends Apple wake words to third-party smart home devices, different languagesAmazon changes from bare knuckle to brass knuckle in the courtsPhonexia launches biometric audio investigation solution for law enforcementNew biometric sensor can discern 9 voices in a package small enough for a phoneHow fraudster behavior changed in our long 2020Finnovant partnership brings face and voice biometrics to blockchain governanceLiveness Detection:‘Red Teaming’ approach to biometric spoof attack detection testing discussed by BixeLabIntel RealSense eases 3D facial authentication integration for diverse use casesAware says Imprivata’s biometric liveness choice shows healthcare market potentialOCR Labs raises €12.5M to bring ID doc and selfie biometrics checks to UK, Turkish marketsBehavioral Biometrics:Behavioral biometrics market moves: Elisity raises $26M, D4t4 platform launch, BehavioSec patentsCybersecurity startup Elisity has raised $26 million in Series A funding to scale its digital identity and behavioral biometrics-based enterprise platform, dubbed Cognitive Trust. The announcement coincides with a new behavioral biometrics platform launch by D4t4 and a pair of patents granted to BehavioSec.The funding round was led by Two Bear Capital and AllegisCyber Capital, and included the participation of seed investor Atlantic Bridge.The company was founded by three co-founders with a common past in leadership roles in product development, architecture, and engineering at Cisco, according to the announcement.The Cognitive Trust platform is delivered through the cloud to analyze the identity and context of people, apps, and devices, with dynamic adaptation from the edge to the cloud, Elisity says. It does so by learning behaviour to carry out risk assessments to continuously optimize digital asset protection. The company also says the platform is intelligent enough to understand the connections of people and devices beyond the corporate perimeter to inform dynamic adaptation.Behavioral biometrics platform launched by D4t4D4t4 has launched the Celebrus Fraud Detection Platform to protect businesses’ customers with real-time insights from behavioral biometrics across all digital touchpoints to eliminate new account fraud, account takeovers and fraudulent payments.Celebrus FDP also reduces false positives by applying continuous authentication, which according to the announcement enables more accurate and sophisticated detection for improved customer experiences. The platform identifies unusual online interactions in real-time, integrates into existing fraud detection and investigation systems, and provides businesses with a high degree of control, D4t4 says.The announcement points to the rising fraud rates in the financial services industry as an indication of its addressable market.Initial partnerships and integrations include Quantexa, Teradata, and SAS.BehavioSec extends behavioral biometrics capabilities with two patentsBehavioSec has been granted a pair of patents by the U.S. Patent and Trademark Office, extending the company’s behavioral biometrics to further granularity on Android devices and social engineering detection across device types.The company says its patent for ‘Continuous authentication based on motion input data’ allows it to double the amount of actionable intelligence yielded up by each keystroke on an Android device, through data such as starting coordinates, ending coordinates, and timestamps on key-up actions from the use of a virtual keyboard on the display.“This field is hampered by a severe lack of data, especially regarding gestures performed on virtual keyboards,” the inventors write. “Many external applications on devices do not report key press down timings. If they do, the timings are often inaccurate. For example, a keyboard recording swipes to form a word can deliver only the last timestamp of the swiped word. Since such word forming can take a long time, this means that a lot of digitizer time sampling information is lost. Accordingly, there is therefore a need for a method for recording accurate key timings, especially on virtual keyboards, for purposes of both initial and continuous user authentication.”The end result, they say, is “an accurate behavioral biometrics authentication in the operating system kernel, which is continuously running in the background for whatever application a user interacts with.”The patent for a ‘Method and a device for denying or nullifying a specific online transaction carried out by an authorized user who is coached by a fraudster’ extends a patent granted to BehavioSec in 2019 of the same name. The extension improves the detection and blocking of social engineering at scale, according to the announcement.Wearables:Facebook plans smartwatch with biometrics, Apple Watch to upgrade health appStick close. Samsung announces a skin-mounted, flexible biometric deviceBiometric health innovations for wearables advance towards marketMobile Biometrics:Fabrick launches mobile biometric open finance solution with Mastercard APIsFintechs race to adopt biometrics for remote KYCTrustmatic launches online biometric identity verification with Innovatrics partnershipOCR Labs raises €12.5M to bring ID doc and selfie biometrics checks to UK, Turkish marketsIdRamp joins Linux’ Cardea as digital health passes evolve and roll outStripe launches selfie biometrics to join active identity verification marketClear signs first healthcare partner for biometrics-secured digital health passRegula selected to verify digital identity documents for Zamna travel infrastructureAcuant wins crypto selfie biometrics customer as financial service providers address market gapsBiometrics Industry EventsEAB workshop on fingerprint image quality (NFIQ2.1): Jun 15, 2021 — Jun 16, 2021FinTech Connect Toronto: Jun 15, 2021 — Jun 16, 2021Identiverse: Jun 21, 2021 — Jun 23, 2021Aviation Festival Asia: Jun 22, 2021 — Jun 23, 2021Identify 2021: Jun 29, 2021IFSEC International Connect 2021: Jul 12, 2021 — Jul 14, 2021Security Exhibition & Conference 2021: Jul 21, 2021 — Jul 23, 20212nd CCTV EXPO: Jul 29, 2021 — Jul 30, 20215th India Homeland Security Expo: Jul 29, 2021 — Jul 30, 20216th International Police Expo: Jul 29, 2021 — Jul 30, 2021The Security Event: Sep 7, 2021 — Sep 9, 2021ICT Spring Europe 2021: Sep 14, 2021 — Sep 15, 2021Forensics Europe Expo: Sep 14, 2021 — Sep 16, 2021European Biometrics Max Snijder, Research, and Industry Awards 2021: Sep 15, 2021BIOSIG 2021–20th International Conference of the Biometrics Special Interest Group: Sep 15, 2021 — Sep 17, 2021The Biometrics Institute’s calendar of events for 2021:Press release: Educational events to get biometrics right - Biometrics InstituteMISCTech-based clothing, smart mirrors and biometrics in every room: our homes in 2071:Tech-based clothing, smart mirrors and biometrics in every room: our homes in 2071 | Biometric UpdateBiometrics could be the next big development in the creation of vaccine passports:Biometrics Could Hold the Key to Vaccine Passports‘Redefining Biometrics for the Next Decade of Digital Work and Life’ webinar: — @FindBiometricsSubscribe to Paradigm!Medium. Twitter. Telegram. Telegram Chat. Reddit. LinkedIn.Main sourcesResearch articlesBiometric UpdateScience DailyFind BiometricsPlanet biometricsBT/ Facebook plans smartwatch with biometrics was originally published in Paradigm on Medium, where people are continuing the conversation by highlighting and responding to this story.

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