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Conventional methods for diagnosing Social Anxiety Disorder (SAD), such as clinical interviews and self-reported questionnaires, often face accessibility barriers and subjective biases, underscoring the need for objective physiological…

Human-Computer Interaction · Computer Science 2025-12-02 Nilesh Kumar Sahu , Snehil Gupta , Haroon R. Lone

Cardiorespiratory fitness is an established predictor of metabolic disease and mortality. Fitness is directly measured as maximal oxygen consumption (VO$_{2}max$), or indirectly assessed using heart rate responses to standard exercise…

Machine Learning · Computer Science 2023-08-28 Dimitris Spathis , Ignacio Perez-Pozuelo , Tomas I. Gonzales , Yu Wu , Soren Brage , Nicholas Wareham , Cecilia Mascolo

This paper provides an insight to the time-varying dynamics of the shape of the distribution of financial return series by proposing an exponential weighted moving average model that jointly estimates volatility, skewness and kurtosis over…

Risk Management · Quantitative Finance 2012-06-08 A. Gabrielsen , P. Zagaglia , A. Kirchner , Z. Liu

This paper considers the problem of casual heart rate tracking during intensive physical exercise using simultaneous 2 channel photoplethysmographic (PPG) and 3 dimensional (3D) acceleration signals recorded from wrist. This is a…

Information Theory · Computer Science 2016-09-13 Mahdi Boloursaz Mashhadi , Ehsan Asadi , Mohsen Eskandari , Shahrzad Kiani , Farrokh Marvasti

Estimating heart rate from video allows non-contact health monitoring with applications in patient care, human interaction, and sports. Existing work can robustly measure heart rate under some degree of motion by face tracking. However,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-05 Yeshwanth Napolean , Anwesh Marwade , Nergis Tomen , Puck Alkemade , Thijs Eijsvogels , Jan van Gemert

Missingness and measurement frequency are two sides of the same coin. How frequent should we measure clinical variables and conduct laboratory tests? It depends on many factors such as the stability of patient conditions, diagnostic…

Machine Learning · Computer Science 2024-02-16 Jiacheng Liu , Jaideep Srivastava

Recent trend of touch-screen devices produces an accessibility barrier for visually impaired people. On the other hand, these devices come with sensors such as accelerometer. This calls for new approaches to human computer interface (HCI).…

Human-Computer Interaction · Computer Science 2016-04-27 Dogukan Erenel , Haluk O. Bingol

Cohort studies are increasingly using accelerometers for physical activity and sedentary behavior estimation. These devices tend to be less error-prone than self-report, can capture activity throughout the day, and are economical. However,…

Hospital readmission rate is high for heart failure patients. Early detection of deterioration will help doctors prevent readmissions, thus reducing health care cost and providing patients with just-in-time intervention. Wearable devices…

Computers and Society · Computer Science 2018-06-05 Dingwen Li , Jay Vaidya , Michael Wang , Ben Bush , Chenyang Lu , Marin Kollef , Thomas Bailey

Features of pericoronary adipose tissue (PCAT) assessed from coronary computed tomography angiography (CCTA) are associated with inflammation and cardiovascular risk. As PCAT is vascularly connected with coronary vasculature, the presence…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Hao Wu , Yingnan Song , Ammar Hoori , Ananya Subramaniam , Juhwan Lee , Justin Kim , Tao Hu , Sadeer Al-Kindi , Wei-Ming Huang , Chun-Ho Yun , Chung-Lieh Hung , Sanjay Rajagopalan , David L. Wilson

Eating speed is an important indicator that has been widely investigated in nutritional studies. The relationship between eating speed and several intake-related problems such as obesity, diabetes, and oral health has received increased…

Signal Processing · Electrical Eng. & Systems 2024-10-08 Chunzhuo Wang , T. Sunil Kumar , Walter De Raedt , Guido Camps , Hans Hallez , Bart Vanrumste

We report a formula for the dry adiabatic lapse rate that depends on the compressibility factor and the adiabatic curves. Then, to take into account the non-ideal behavior of the gases, we consider molecules that can move, rotate, and…

Atmospheric and Oceanic Physics · Physics 2020-12-29 Bogar Díaz , J. E. Ramírez

The STEP 1 randomized trial evaluated the effect of taking semaglutide vs placebo on body weight over a 68 week duration. As with any study evaluating an intervention delivered over a sustained period, non-adherence was observed. This was…

The Vision Transformer (ViT) demonstrates exceptional performance in various computer vision tasks. Attention is crucial for ViT to capture complex wide-ranging relationships among image patches, allowing the model to weigh the importance…

Machine Learning · Statistics 2024-01-22 Tomohiro Shiraishi , Daiki Miwa , Teruyuki Katsuoka , Vo Nguyen Le Duy , Kouichi Taji , Ichiro Takeuchi

An avatar mirroring the user's movement is commonly adopted in Virtual Reality(VR). Maintaining the user-avatar movement consistency provides the user a sense of body ownership and thus an immersive experience. However, breaking this…

Human-Computer Interaction · Computer Science 2022-09-23 Zhipeng Li , Yu Jiang , Yihao Zhu , Ruijia Chen , Ruolin Wang , Yuntao Wang , Yukang Yan , Yuanchun Shi

Lactate threshold is considered an essential parameter when assessing performance of elite and recreational runners and prescribing training intensities in endurance sports. However, the measurement of blood lactate concentration requires…

Machine Learning · Statistics 2018-03-20 Urtats Etxegarai , Eva Portillo , Jon Irazusta , Ander Arriandiaga , Itziar Cabanes

We propose a Bayesian covariate-dependent anti-logistic circadian model for analyzing activity data collected via wrist-worn wearable devices. The proposed approach integrates covariates into the modeling of the amplitude and phase…

Methodology · Statistics 2025-02-06 Beniamino Hadj-Amar , Vaishnav Krishnan , Marina Vannucci

Acuity assessments are vital in critical care settings to provide timely interventions and fair resource allocation. Traditional acuity scores rely on manual assessments and documentation of physiological states, which can be…

Diagnostic activities, such as ultrasound scans and palpation, are relatively low-cost. They play a crucial role in the early detection of health problems and in assessing their progression. However, they are also error-prone activities,…

Activity monitors are widely used to measure various physical activities (PA) as an indicator of mobility, fitness and general health. Similarly, real-time monitoring of longitudinal trends in step count has significant clinical potential…

Machine Learning · Computer Science 2020-12-17 Arvind Pillai , Halsey Lea , Faisal Khan , Glynn Dennis