Articles tagged with Biometrics
The MIPACT study analyzed data from thousands of participants, revealing differences in heart rate, blood pressure, and activity levels by age, race, ethnicity, and clinical conditions. The study's findings have significant implications for clinicians, providing a more complete picture of daily life and resulting health.
Mangroves with interconnected root networks exhibit larger size and increased connectivity under drought stress. The number of networks increases with soil salinity levels, suggesting a survival strategy for the group.
A new article proposes a scale-adaptive auto-context-guided fetal US segmentation framework with structured random forests, improving the accuracy of fetal biometric measurements. The proposed method outperforms state-of-the-art methods in terms of segmentation accuracy for fetal head circumference and abdominal circumference.
A new approach uses photoacoustic tomography to capture 3D images of finger veins, enabling levels of specificity and anti-spoofing previously not possible. The method achieves 99% accuracy in correctly accepting or rejecting identities.
A comprehensive workplace wellness program, iThrive, was found to have no significant effect on employee health measures or medical use. However, it did improve self-reported health beliefs and the proportion of employees reporting having a primary care physician.
Researchers at Hiroshima University found a positive correlation between happy emotional states and productivity among factory workers in Laos. The study used wearable biometric devices to track employees' emotional states over three working days, revealing that only happy emotions were related to productivity.
Developed a patch-based health diagnosis sensor system that collects various health information in real-time by monitoring biosignals and certain movements. The sensor's stable structure mimics snake motions, spider webs, and paper craft, making it durable despite intense body movements.
A team of researchers found a security flaw in biometric passports that enables unauthorized equipment to scan and track passport holders' locations. The ICAO 9303 standard used worldwide since 2004 is vulnerable to attacks, posing a risk to individual privacy.
Researchers have proposed a gait-based identification method for elderly users using wearable devices, improving the accuracy of authentication for older adults. The method uses a gait template synthesis algorithm and arbitration-based score-level fusion to alleviate intra-subject gait fluctuation.
Researchers at NYU Tandon created synthetic fingerprints capable of spoofing smartphone fingerprint sensors, potentially fooling up to one in five people. The 'DeepMasterPrints' can match multiple prints stored in databases and unlock devices, highlighting the need for multi-factor authentication.
ReCRED project develops secure authentication system linking user's identity to their mobile device, eliminating password management. The platform uses data-based security and incorporates biometric information for verification.
The discovery of an eighth-century skeleton on Torcello has shed new light on the island's population and burial customs. The skeleton, found in a tomb dating back to around 700 A.D., provides valuable biometric data for analysis.
Researchers discovered that supercharged polypeptide fluids can form ordered phases in response to physical forces, resembling fingerprint patterns. The persisted order was detected using polarized optical microscopy, opening possibilities for biometric fingerprint detection.
The U.S. Army Research Laboratory has developed an artificial intelligence technique that produces a visible face image from thermal images captured in low-light conditions. The technology leverages advanced domain adaptation techniques to enhance discriminability and recognition accuracy.
The Real-Time Captcha approach uses a randomly-selected question within a Captcha image, requiring users to respond quickly and making it difficult for machine learning programs to spoof legitimate users. The technique combines face recognition with Captcha, strengthening biometric authentication.
Researchers developed a wearable device called VAuth that creates a unique and secure signature using speech-induced vibrations on the user's body. The technology has achieved a 97-percent detection accuracy and successfully thwarts various practical attacks, making it a promising solution to enhance voice authentication security.
A University at Buffalo-led team has developed a non-contact, remote biometric tool using the dimensions of your heart as an identifier. The system, which was three years in the making, continually monitors a user's heart to ensure only authorized individuals can access their computer.
A UBC computer scientist invented a unique desk light that automatically switches from green to red when an employee is 'in the zone' and shouldn't be disturbed by colleagues. The FlowLight reduces interruptions, changes office culture, and motivates employees to finish work faster.
A PolyU research team has developed a fast, affordable and accurate 3D fingerprint identification system. The system uses a single camera and LED lights to capture high-frequency information in 3D fingerprints, achieving an accuracy of around 97%.
Researchers found that 99% of face images can still be recognized up to six years later, but accuracy drops if images are taken more than six years apart. The study emphasizes the importance of capturing new images every four to five years to reduce false positives.
Researchers at Binghamton University will continue to investigate brain biometric technology with a new $900,000 grant. The project aims to strengthen understanding of the human brain's unique cognitive and psychological properties to improve secure authentication.
Michigan State University researchers created a life-size 3D model of a human hand complete with fingerprints to test the accuracy of fingerprint scanners. The study highlights the limitations of existing technology, revealing potential security loopholes that could be exploited by crooks.
Researchers develop a new method to produce unique reflecting patterns that can be applied on valuable objects, rendering them uncloneable and ideal for authenticating products. The technique uses the peculiar optics of spheres of cholesteric liquid crystal to generate dynamic colorful patterns.
Researchers have created a new equation to estimate gestational age from fetal biometrics, showing a slight improvement in accuracy compared to the traditional Hadlock formula. The study validates the new formula using a large, multi-center dataset and demonstrates its potential to reduce unnecessary interventions like induction of labor.
Researchers at Clemson University found that monitoring vehicle behavior is a reliable and less intrusive way to detect fatigue or drowsiness in drivers. The study tested volunteers for 20 minutes on a 15-mile course, using GPS technology to measure driving performance and detect deviations.
The special issue of Applications in Plant Sciences explores bioinformatic methods to analyze plant morphology. Researchers successfully applied automated classification and identification techniques, geometric morphometrics, and skeleton networks to examine plant form.
Researchers have developed two new wearable devices that use scattered light to monitor glucose concentration and dehydration levels. The devices also track pulse with reduced sensitivity to errors, making them suitable for health and fitness tracking. They are the first non-invasive devices to directly measure glucose concentration.
A new authentication system using brain wave biometrics can prevent vehicle hijacking and halt intoxicated drivers. The system continuously scans the driver's brain waves to verify their identity, ensuring safe operation of vehicles carrying valuable commodities and money.
Researchers found that speed, accuracy, and clear error messages are crucial for eye-tracking systems to succeed. A new biometric technique identifies users based on their eye movements, offering a potential alternative to traditional passwords.
A team at Jadavpur University has developed a computer algorithm that can analyze the minutiae of blood vessels revealed by an infra-red scan of a person's face. The thermogram shows the pattern of blood vessels almost down to the smallest capillary with an accuracy of over 97%, making it suitable for high-security applications.
A new biometric approach using kneecap scans could identify individuals with accuracy of up to 93%. This method avoids health risks and privacy issues associated with other biometrics.
A new study from University of Notre Dame researchers found that iris biometric enrollment degrades slowly over time, increasing false non-match errors. The study challenges the long-held assumption of 'one enrollment for life,' highlighting the need for reenrollment intervals or aging-resistant approaches.
Researchers at University of Calgary developed a biometric security system that combines different measurements like eye colour and fingerprints to create a learning system simulating the brain. The algorithm can learn new patterns and adapt to changing conditions, improving accuracy and recognition process.
Researchers at NIST developed a new protocol for communicating with biometric sensors over wired and wireless networks using web services. This protocol, WS-BD, simplifies setting up and maintaining secure biometric systems by enabling interoperability among devices.
The BioP@ss project has developed advanced chip cards with embedded software for biometrics-enhanced passports and identity cards, reducing queues at airports and frontier posts. The technology boosts European security while simplifying access to public services, improving passengers' safety.
Researchers from Beirut develop a new method to verify passwords using key-pattern analysis (KPA), which considers the speed and timing of user keystrokes. This approach renders stolen passwords useless by creating a unique biometric profile of the user's typing pattern.
Researchers developed a computer algorithm that analyzes viewing angle and illumination to generate a 3D view of a face from a 2D image. This technology can be used for identity management, information protection, and homeland security, reducing false identification.
Researchers at Notre Dame are developing and assessing image-based biometrics technologies using twins, including facial and iris recognition. They found that human observers can correctly classify pairs of twins with 80% accuracy, suggesting new possibilities for automated iris analysis.
The ONOM@TOPIC project developed advanced prototypes for new-generation e-ID cards and SIM devices, utilizing Near Field Technology to enable wireless data exchange. These innovations led to the creation of a global standard, IAS-ECC, now used in various European e-government programs.
Researchers warn that biometric logins may not be secure on the go due to mobile device limitations. Biometric technology uses fingerprints, voice recognition, or typing patterns for authentication.
A Japanese team has developed an emotion detector for babies that can accurately classify their cries as 'normal' or in pain. The device uses a statistical analysis of audio spectra and achieved a 100% success rate in its validation tests.
The EU's Framework Programmes have been a driving force in ICT Trust and Security research, with six ongoing FP6-IST projects submitting their papers to the Journal of Computer Security. The projects aim to convert know-how into economic advantages, while advancing security, privacy, and trust in new technologies.
A new report by NIST demonstrates that iris recognition algorithms can maintain their accuracy and interoperability with compact images, affirming their potential for large-scale identity management applications. The study's results show that two compression standards, JPEG2000 and PNG format, performed well in preserving image quality.
BioVault uses biometric data to create a secret key for encryption, resolving the asymmetry issue in traditional biometric systems. The system authenticates users directly with biometrics, providing irrevocable identification and authentication.
A study published in the International Journal of Biometrics proposes using knee X-rays for biometric validation, providing a unique and secure method for identifying individuals. The Wnd-charm algorithm rapidly analyzes X-ray images to identify specific knees and match them with a database, making it difficult for fraudsters to spoof ...
Researchers have developed a novel biometric authentication method based on human reflexes, which cannot be replicated or spoofed by malicious individuals. By tracking blind spot position and saccade responses, this approach provides unique identification for each user.
Researchers in India have developed a comprehensive framework for gait recognition by computer, using statistical analysis and height measurements to classify individuals. The system can identify threats from a considerable distance, giving personnel more time to react before a suspect becomes a real threat.
Researchers at NIST tested two variations of fingerprint matching technology for PIV cards and found that one method, 'match-on-card', offers improved security without sacrificing speed. The technology uses the card's processor chip to verify fingerprints, eliminating the need to transmit biometric data wirelessly.
A Purdue University study found that biometric devices, such as fingerprint and hand-geometry scanners, contain similar levels of bacteria to doorknobs. Researchers discovered that nearly all bacteria died on the devices within 20 minutes, with E. coli surviving slightly longer than Staphylococcus aureus.
Researchers at University at Buffalo develop automated system to track individuals' likelihood of committing a terrorist act based on biometrics and behavioral indicators. The system aims to identify perpetrators in real-time, providing a numerical score of malfeasance likelihood.
A new study suggests that diagnostic ultrasound can be used for biometric identification by matching paired images of fingerprints based on internal structures. The researchers found a high accuracy rate of 96% among four readers, with radiologists achieving a 100% success rate.
The USC researchers have created two novel CMOS architectures for 'biometric radar' and automobile accident avoidance systems. One chip can detect living victims in rubble by analyzing minute movements caused by breathing and heartbeat, while the other uses a low-cost CMOS chip to detect ultrawideband signals.
Researchers at NIST found that optimal work surface heights of 26 inches for image quality and 36 inches for speed can improve fingerprint capture. Participants preferred using their right hands, which reduced processing time.
NIST's Multimodal Biometric Application Resource Kit (MBARK) enables flexible and reliable multimodal biometric applications by providing standardized middleware for integrating sensors from different manufacturers. This solution reduces complexity and costs, facilitating the development of secure sites and border access.
The MINEX test demonstrated that minutia templates can be used to match fingerprints accurately, especially when using two index fingers. Systems with images and multiple fingerprint pairs achieved the highest accuracy rates, exceeding 99% in some cases.
Biometrics seeks to overcome its limitations by improving sensor quality, image processing, and combining traits for enhanced accuracy. The technology has shown impressive precision but also faces challenges such as small margins of error, which can have significant consequences.
The National Institute of Standards and Technology (NIST) has released a new software program that judges the quality of scanned fingerprints. The software assigns a quality level ranging from 1 for high-quality prints to 5 for unusable prints, helping ensure accurate matches.