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Myocardial infarction (MI), commonly known as a heart attack, is a critical health condition caused by restricted blood flow to the heart. Early-stage detection through continuous ECG monitoring is essential to minimize irreversible damage.…

Machine Learning · Computer Science 2024-11-28 Abhijith S , Arjun Rajesh , Mansi Manoj , Sandra Davis Kollannur , Sujitta R , Jerrin Thomas Panachakel

Applications in the Internet of Things (IoT) utilize machine learning to analyze sensor-generated data. However, a major challenge lies in the lack of targeted intelligence in current sensing systems, leading to vast data generation and…

Machine Learning · Computer Science 2024-02-08 Wenjun Huang , Arghavan Rezvani , Hanning Chen , Yang Ni , Sanggeon Yun , Sungheon Jeong , Mohsen Imani

Wrist-bands such as smartwatches have become an unobtrusive interface for collecting physiological and contextual data from users. Smartwatches are being used for smart healthcare, telecare, and wellness monitoring. In this paper, we used…

Computers and Society · Computer Science 2018-08-21 Debanjan Borthakur , Andrew Peltier , Harishchandra Dubey , Joshua Gyllinsky , Kunal Mankodiya

All optical nanothermometry has become a powerful, noninvasive tool for measuring nanoscale temperatures in applications ranging from medicine to nanooptics and solid-state nanodevices. The key features of any candidate nanothermometer are…

Consumer applications are becoming increasingly smarter and most of them have to run on device ecosystems. Potential benefits are for example enabling cross-device interaction and seamless user experiences. Essential for today's smart…

Human-Computer Interaction · Computer Science 2021-03-30 Muhammad Mehran Sunny , Moritz Berghofer , Ilhan Aslan

We investigate the use of musically structured, closed-loop vibration patterns as a passive biofeedback intervention for relaxation and sleep initiation. By encoding rhythmic meter structures into smartwatch vibrations and adapting their…

Human-Computer Interaction · Computer Science 2025-07-04 Jueun Lee , Dennis Moschina , Supraja Ramesh , Tobias Röddiger , Kai Kunze , Michael Beigl

The research on human activity recognition has provided novel solutions to many applications like healthcare, sports, and user profiling. Considering the complex nature of human activities, it is still challenging even after effective and…

Human-Computer Interaction · Computer Science 2023-07-11 Ranjit Kolkar , Geetha V

Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. While motion artifacts in dynamic environments have been…

Human-Computer Interaction · Computer Science 2025-04-17 Manh Pham Hung , Matthew Yiwen Ho , Yiming Zhang , Dimitris Spathis , Aaqib Saeed , Dong Ma

Zoomorphic Socially Assistive Robots (SARs) offer an alternative source of social touch for individuals who cannot access animal companionship. However, current SARs provide only limited, passive touch-based interactions and lack the rich…

Human health is closely associated with their daily behavior and environment. However, keeping a healthy lifestyle is still challenging for most people as it is difficult to recognize their living behaviors and identify their surrounding…

Machine Learning · Computer Science 2023-01-13 Mengxi Liu , Sungho Suh , Bo Zhou , Agnes Gruenerbl , Paul Lukowicz

The increasing popular interest in personal telemetry, also called the Quantified Self or "lifelogging", has induced a popularity surge for wearable personal fitness trackers. Fitness trackers automatically collect sensor data about the…

Cryptography and Security · Computer Science 2017-03-27 Mahmudur Rahman , Bogdan Carbunar , Umut Topkara

Wearable robotic hand rehabilitation devices can allow greater freedom and flexibility than their workstation-like counterparts. However, the field is generally lacking effective methods by which the user can operate the device: such…

Robotics · Computer Science 2019-01-14 Sangwoo Park , Cassie Meeker , Lynne M. Weber , Lauri Bishop , Joel Stein , Matei Ciocarlie

Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep…

Human-Computer Interaction · Computer Science 2024-04-01 Jessilyn Dunn , Varun Mishra , Md Mobashir Hasan Shandhi , Hayoung Jeong , Natasha Yamane , Yuna Watanabe , Bill Chen , Matthew S. Goodwin

To enhance the mobility and convenience of the campus community, we designed and implemented the Pulse system, a visual interface for communicating the crowd information to the lay public including campus members and visitors. This is a…

Human-Computer Interaction · Computer Science 2018-10-02 Aoyu Wu , Bon Kyung Ku , Furui Cheng , Xinhuan Shu , Abishek Puri , Yifang Wang , Huamin Qu

Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma, structural barriers such as financial burden, and lack of available services and…

Computers and Society · Computer Science 2020-07-27 Kieran Woodward , Eiman Kanjo , David Brown , T. M. McGinnity , Becky Inkster , Donald J Macintyre , Athanasios Tsanas

The promising field of organic electronics has ushered in a new era of biosensing technology, offering a promising frontier for applications in both medical diagnostics and environmental monitoring. This review paper provides a…

Applied Physics · Physics 2023-11-08 Jyoti Bala Kaushal , Pratima Raut , Sanjay Kumar

Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a comprehensive framework -- what we believe to be the first capable…

Machine Learning · Computer Science 2025-05-02 Barak Gahtan , Sanketh Vedula , Gil Samuelly Leichtag , Einat Kodesh , Alex M. Bronstein

Despite widespread adoption of smartwatches worldwide, open-benchmarks for wrist-based gesture recognition remain surprisingly limited. In this work, we introduce the first open-access multi-modal benchmark, OpenWatch, for wrist-based…

Human-Computer Interaction · Computer Science 2026-05-08 Pietro Bonazzi , Youssef Ahmed , Daniel Eckert , Andrea Ronco , Junjie Zeng , Dengxin Dai , Michele Magno

Mobile health (mHealth) apps have gained popularity over the past decade for patient health monitoring, yet their potential for timely intervention is underutilized due to limited integration with electronic health records (EHR) systems.…

Smart watches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate and other aspects of cardiovascular health. However, PPG signals collected from such devices are susceptible to…

Signal Processing · Electrical Eng. & Systems 2023-07-12 Pranay Jain , Cheng Ding , Cynthia Rudin , Xiao Hu