Articles tagged with Biometrics
Researchers from the University of Kansas used motion capture technology to analyze shooting mechanics, finding that greater flexibility in the preparatory phase is crucial for accuracy. The study's findings will be used to attempt a new world record for most consecutive made three-point shots.
A new machine learning model interprets leg motion as expended energy, providing a more accurate measure of calories burned. The device has been shown to have double the accuracy of commercial smartwatches and activity trackers.
Research finds that negative childhood experiences like divorce, bullying, and abuse can increase obesity risk in Hispanic children. However, caregiver support and self-coping skills may mitigate these effects.
Researchers from the University of Kansas discovered that taller, leaner athletes with improved jumping ability generate faster club head speeds. The study developed golf-specific load velocity profiles to help athletes and coaches develop plans for improvement, focusing on exercises like squats and building lean mass.
A study published in PLOS Biology found that males rate computer-generated figures with a larger penis as more intimidating and sexually competitive. Women also prefer taller, more V-shaped males with a larger penis, but beyond a certain point, further increases in size have diminishing benefits.
Research suggests that health apps, wearables, and interactive programs can improve physical activity, diet, and weight outcomes for children and teens. Mobile apps had the greatest impact on diet and weight outcomes, while wearables were most effective for reducing sedentary time.
A recent study from Harvard John A. Paulson School of Engineering and Applied Sciences uses wearable sensor technology and machine learning to estimate ground-reaction forces in runners. This data can provide insights into performance and injury, enabling the development of devices that deliver real-time feedback to users.
A new study from the University of Kansas found that football practices can be up to 40% more physically demanding than games, with defensive backs running farther distances. The research used GPS technology to measure training loads and provide insights for coaches and trainers to design optimal practice schedules.
A new study published in PNAS found that physical activity increases total daily energy expenditure without reducing it elsewhere. The research showed a clear link between being more active and spending less time sitting still.
The new centre supports multiple clinical trials in parallel, enabling comprehensive evaluations of organ health across physiological systems. It also provides hands-on training opportunities for healthcare professionals, bridging the gap between theoretical knowledge and practical application.
A University of Waterloo study cautions against using BMI as a measure of health, citing its limitations in distinguishing between muscle and fat, and overlooking important factors such as age, sex, and race. The researchers advocate for more nuanced measures of body size or rejecting BMI altogether.
A Chinese Medical Journal study reviews the association between lipid metabolism and Parkinson’s disease. The research highlights how lipid disruptions contribute to α-Syn aggregation, mitochondrial dysfunction, and neuroinflammation, suggesting lipids as a promising therapeutic target for PD.
Dr. Steven B. Heymsfield joins an elite group of scholars recognized for advancing knowledge and transforming their fields. He has authored over 1,300 scientific publications with nearly 79,000 citations, placing him among the top 500 most-cited researchers globally.
Researchers at Duke University developed a wireless patch that non-invasively measures skin and tissue stiffness, providing real-time feedback for medical applications like wound healing and chronic conditions. The technology also has potential for athletic performance optimization and rehabilitation.
Research warns that GLP-1 drugs may not provide the long-term health benefit of improved heart and lung function. While they help with weight loss, patients may experience significant muscle loss, which can increase cardiovascular disease risk. Doctors are urging additional research to better understand the effects of these drugs.
Researchers found that waist-to-hip and waist-to-height ratios are strong predictors of physical performance in older adults. Individuals with higher abdominal fat tend to have poorer physical function, which can impair independence as people age.
Researchers developed a novel liquid metal electronic ink that allows for micro-scale circuit printing at room temperature, with reversible stiffness switching depending on temperature. This advancement marks a significant leap toward next-generation wearable, implantable, and robotic devices with tunable mechanical properties.
A team of scientists at Stanford University has created an early testing method to identify individuals at risk of taking a life-threatening fall. By analyzing walking patterns and balance issues over time, the researchers can provide clinicians with valuable insights to intervene before falls occur.
A new smartphone app, ECHAS, can help people determine if they are suffering from a heart attack or stroke and need medical attention. The app, developed by experts at UVA Health and other leading institutions, proved effective in identifying patients with cardiac and neurological emergencies.
Researchers at the University of Arizona have developed a longer-lasting, 3D-printed wearable capable of providing comprehensive physiological data. The device continuously tracks and logs water vapor and skin emissions to monitor dehydration, metabolic shifts, and stress levels.
A new study found that smartwatches paired with a health app can encourage people with newly diagnosed Type 2 Diabetes to maintain a home-delivered, personalised exercise programme. This programme showed improvements in blood sugar levels, systolic blood pressure, cholesterol, and quality of life.
A new study found that smartwatches paired with a health app can encourage people with newly diagnosed Type 2 Diabetes to start and maintain purposeful exercise, leading to improvements in blood sugar levels and systolic blood pressure. The programme also helped participants lower cholesterol and improve their quality of life.
Researchers at Lancaster University discovered a new type of vaccine-specific scepticism, where some people perceive COVID-19 vaccines as 'not a vaccine' compared to MMR. This phenomenon may also apply to the flu vaccine, highlighting the need for clear public health messaging.
A new method of biometric authentication has been developed using hyperspectral imaging and AI to identify individuals through the unique patterns in their blood vessels on the palm of their hand. The technology shows great promise for secure personal identification and could potentially be used as a key to unlock homes.
A large study found that telemedicine and training apps had minimal positive effects on patients with type 2 diabetes and coronary heart disease. The study suggests that direct care from medical professionals remains crucial for improving health outcomes in this population.
Researchers at KAIST and U of Michigan developed a digital biomarker to predict symptoms of depression using smartwatch data. The technology estimates circadian rhythm disruption, which can lead to depression, anxiety, and other mental health issues.
Anil Jain and Michael I. Jordan received the BBVA Foundation Award in Information and Communication Technologies for their pioneering work on machine learning, enabling transformative technologies like biometrics and artificial intelligence. Their research has unlocked applications of far-reaching impact on society.
A research team led by Professor Jung Inn Sohn from Dongguk University developed a gel polymer electrode-based triboelectric nanogenerator (GPE-TENG) with stretchable, semi-transparent, and durable properties. The device generates electrical signals when tapped or stretched, delivering a peak power of 0.36 W/m² at a load of 15 MΩ.
A systematic review and meta-analysis published in the British Journal of Sports Medicine found that cardiorespiratory fitness is a stronger predictor of cardiovascular disease and all-cause mortality than body mass index. Fit individuals across all BMI categories had statistically similar risks of death, while unfit individuals showed...
Karimian's research will investigate common hardware-based attacks on biometric systems, including spoofing, template, side-channel, and fault-injection attacks. He also aims to develop a hardware-based biometric template protection system that addresses bias in facial recognition software.
Researchers used movement sensors to track thoroughbreds' stride patterns and identified miniscule changes associated with increased injury risk. The technology has been shown to prevent catastrophic injuries by alerting trainers and veterinarians to intervene before a major injury occurs, resulting in longer careers for affected horses.
Researchers at George Mason University are working on a contactless fingerprint technology to mitigate biases in smartphone identity verification. The project aims to ensure data security for users of diverse backgrounds, addressing vulnerabilities related to physical characteristics.
Researchers developed a reliable iris recognition method by applying statistical limits to the spatial domain zero crossing technique, reducing errors to 0.022%. The algorithm uses a neural network to recognize unique features of each person's iris, achieving over 99.78% accuracy.
Researchers at NIST have developed a method using cellphone magnetometers to rapidly and cheaply measure biomedical properties for monitoring or diagnosing diseases, including glucose levels in saliva. The technique has the potential to detect environmental toxins and measure biomarkers such as histamines with high sensitivity.
A recent study used AI trained on cell-to-cell communication networks to predict drug responsiveness in immunotherapy for cancer. The model demonstrated high accuracy in analyzing samples from 700 patients with four types of cancer, identifying key communication pathways related to responsiveness and resistance.
Researchers developed two models to evaluate personal learning performance, combining biometric responses with demographic data. The simplified forecast model showed higher accuracy and reduced overfitting than the full forecast model.
A study found that gastrointestinal and sleep issues may be connected to self-injury and aggression in adolescents diagnosed with profound autism. The researchers discovered a possible connection between these health issues and future challenging behaviors, predicting next-day behavior with over 80% accuracy.
The Otago Community Head Impact Detection study and Elite Extension study used smart mouthguard technology to measure head acceleration events in over 17,000 players. These findings provide greater clarity and confidence than ever before into the benefits and safety of rugby.
Researchers used custom-designed headsets to evaluate headpulse biometrics among Australian Rules Football players and found brain abnormalities in 81% of those inflicted with concussion. These alterations lasted 14 days beyond expected recovery times.
Researchers tracked over 25,000 people using wearables data and found that daily living activities of at least moderate intensity can reduce major cardiac events; longer bouts lasting 5-10 minutes may have comparable health benefits.
A new digital headset can detect subtle forces exerted on the skull as the heart contracts, revealing brain changes even in athletes whose symptoms have subsided. The device could help clinicians and coaches make more informed decisions about when athletes are ready to return to play after a concussion.
A new open-source software, NMSM Pipeline, enables clinicians and engineers to create personalized computer models of patient movement to optimize treatment designs. The software uses physics-based models to predict and optimize functional outcomes for patients with various mobility impairments.
Research found that very light exercise can improve prefrontal executive function, with pupil dilation during exercise indicating subsequent improvement. Pupil-linked neural activity was also shown to activate the brain's noradrenergic arousal system.
A team of researchers at Kyoto University has established a method to identify individual inbred medaka killifish by analyzing the characteristic patterns of dark spots on their heads. This identification method may contribute to biometrics for medical and drug discovery research.
A study by Yunfeng Lu and Songfa Zhong found that high contactless real-time heart rates are associated with poor performance in elite archers. Athletes' age and gender did not significantly influence the relationship between stress and performance, but factors like competition ranking and score influenced the results.
Researchers at the University of Missouri have designed a soft and breathable material that can be worn on the skin without causing discomfort. The material, made from liquid-metal elastomer composite, has integrated antibacterial and antiviral properties to prevent the formation of harmful pathogens.
A study found that very light exercise activates brain pathways leading to improved mood and cognitive function. Researchers used pupillometry, a reliable indicator of arousal, to measure pupil dilation during graded exercise.
Researchers found elevated traumatic brain injury biomarkers in football players in skill positions, including quarterbacks, wide receivers, and defensive backs. The study suggests that head impact magnitude, not frequency, causes the greatest elevations in TBI biomarkers.
A prospective multicenter case-control study found that third-trimester fetuses exposed to opioids in utero exhibited smaller brain biometric measurements and altered fetal physiology. The study suggests a possible link between prenatal opioid exposure and postnatal clinical outcomes.
A team of scientists created a digital mask that can erase identifiable features from facial images while retaining disease-relevant information, allowing for precise diagnosis and reducing the risk of data breaches. The study found that patients are more willing to share their medical data if such a measure is implemented.
A study found that genetically unrelated individuals with extreme facial similarities share common genetic variants, but differ in epigenetic and microbiome landscapes. The results suggest a molecular basis for human resemblance, with potential implications in forensics and biomedicine.
University of Missouri researchers develop wearable smart bioelectronic devices, including a 'smart' face mask that can monitor physiological status and detect respiratory problems. The masks also use laser-assisted fabrication to provide breathable soft electronics for better real-time health monitoring.
A team of researchers from Kyushu University has developed an olfactory sensor capable of identifying individuals by analyzing the compounds in their breath. The system, combined with machine learning, achieved an average accuracy of over 97% in authenticating up to 20 individuals.
A WVU engineer is collecting large-scale biometric data using images and videos of faces, gait, body shape, and type. The goal is to improve human recognition performance in challenging conditions.
A new study reveals that children experience faster growth in height over the school year compared to the summer, resulting in a higher BMI. This seasonality in growth affects the probability of becoming overweight or obese during the summer, highlighting the need for obesity prevention efforts throughout the year.
A recent study published in Gerontology found that jaw-opening force can be used as an index for swallowing difficulties in older adults. Researchers at Tokyo Medical and Dental University discovered that individuals with higher jaw strength are less likely to experience dysphagia.
A culinary medicine curriculum significantly improved biometric and diet-related behavioral outcomes among low-income patients with type 2 diabetes. Participants showed reduced glycosylated hemoglobin levels and increased consumption of fruits and vegetables, suggesting a positive impact on diabetes management.
A new study by the University of Plymouth has demonstrated the potential of gait authentication to protect smartphones from cyber crime. The system achieved an average accuracy rate of around 85% in recognizing individuals' stride patterns, with rates rising to almost 90% when participants were walking normally and fast.
Researchers at University of California - Riverside are studying the keto and intermittent fasting diets on a molecular level, finding that women may metabolize fat differently than men. The study aims to understand why keto diet may not be effective for women and how it affects their overall health.
Research found that US adults are divided on biometric technology use, with some comfortable using various forms like fingerprints and others uneasy about DNA and facial recognition. Context plays a significant role in shaping perspectives on biometric technologies.