Mobile app uses hand movement to authenticate smartphone owner

Scientists in Russia are developing a biometric app which allows a smartphone to recognize its owner by the characteristic movement of the hand when answering a call. Developed by the Institute of Cyber Intelligence Systems at the National Research Nuclear University MEPhI in Russia, InCallAuth will use data from the smartphone’s accelerator, gyroscope, and light sensor. The application takes into account three key parameters including the initial device position, the speed of the movement of the hand holding the smartphone,

Software uses smartwatch motion data for signature verification

Researchers have developed software that leverages a smartwatch’s motion detection capabilities to verify a handwritten signature, according to a report by New Atlas. In a new paper, researchers from Tel Aviv University (TAU) and Ben-Gurion University of the Negev detail how the software uses motion data collected by a smartwatch as the wearer jots down their autograph to confirm its authenticity. The motion data captured by the smartwatch’s accelerometer or gyroscope serves as a unique identifier that determines whether the

Microsoft files biometric gestures patent, suggests whole-screen fingerprint reader

Microsoft filed a patent earlier this year for a new feature called “Biometric Gestures”, which allows smartphone owners to perform various actions by swiping their fingerprint scanner in a certain direction, according to a report by MS Power User. Google recently added a similar feature for Google Pixel called fingerprint scanner gestures. “In one or more implementations, a computing device includes a biometric sensor, such as a fingerprint touch sensor, that is configured to detect gesture input,” Microsoft writes in

Explainer: Keystroke recognition

Keystroke recognition has been defined by both industry and academics as the process of measuring and assessing a typing rhythm on digital devices, including on: computer keyboards, mobile phones, and touch screen panels. A noted typing measurement, keystroke recognition, often called “keystroke dynamics”, refers to the detailed timing information that describes exactly when each key was pressed on a digital device and when it was released as a person types. Though biometrics tend to rely on physical traits like fingerprint

TypingDNA enables easy identity verification for web apps with typing biometrics

TypingDNA has developed technology that expands the limited biometric authentication options not requiring specialized sensors or advanced hardware. Its approach works with existing keyboards, and can be used to protect any app by matching a short typing sample. TypingDNA’s cybersecurity SaaS uses artificial intelligence to match two or more typing patterns, which consist of “press and flight times” keyboard input. Typing patterns are virtually impossible to steal, and are also simpler to use for web applications than other biometrics, CMO

TypingDNA raises new investment in latest financing round

Behavioural biometrics firm TypingDNA has raised new investment in its latest financing round lead by Gecad Ventures with money also coming from Adrian Gheara, Alexandru Negrea, Lucian Todea, and Dan Mihaescu. The amount raised was not disclosed. According to a report in Geektime, the Romanian startup uses machine learning algorithms that authenticates users via “keystroke dynamics” or “biometric typing” to identify users by typing speed, movements and keypad pressure to detect remote access hacks or attempts by an unauthorized user

Samsung granted South Korean patent for fingerprint scanner gestures

Samsung has been granted a patent in South Korea relating to a fingerprint scanner with swipe functionality, according to a report by XDA Developers. The newly patented feature — which Samsung initially filed two years ago — will allow users to perform certain functions on their smartphone by simply swiping in a particular way. Based on the patent illustrations, Samsung’s fingerprint scanner gestures offer a different implementation than other smartphones with similar features. Rather than using the swipe gestures to

Microsoft mimics hand motion and sensation for virtual reality systems

Microsoft researchers are looking at a number of ways in which technology can start to recognize detailed hand motion. The software giant will demonstrate an example of its new 3-D hand tracking research at SIGGRAPH 2016, an international conference that focuses on computer graphics and interactive techniques, later this summer. Entitled “Handpose“, the gesture-based control system is designed to allow people to “easily and intuitively” interact with virtual reality systems. Microsoft’s research team is working to create a precise and

BioCatch granted U.S. patent for user identity detection

BioCatch recently announced that the U.S. Patent Office granted the company a new patent which detects user identities on electronic devices. The patent outlines a method of detecting a user based on a motor-control loop model. The method includes: determining user identity vis-a-vis monitoring pointing device dynamics and gestures of the user, based on monitored dynamics and gestures, thereby estimating parameters that characterize a sensorimotor control loop model of the user. The method outlined then store in a database a

EC funding project to identify and authenticate‎ post-secondary students

The European Commission is funding a three-year, US$7.7 million project to create an online evaluation system for universities. The project, entitled “Adaptive Trust-based E-System Assessment for Learning”, or TeSLA for short, aims to define and develop an online assessment system, or e-assessment, that both identifies and authenticates post-secondary students in learning environments. The system works to identify students and verify authorship of their academic work through a combination of state-of-the-art technologies, including: facial recognition, voice recognition, typing pattern recognition and