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For quantitative evaluation of sleep disturbances, a noninvasive monitoring system is developed by introducing an event-based method. We observe sleeping in home context and classify the sleep disturbances into three types of events: motion…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Lyn Chao-ling Chen , Kuan-Wen Chen , Yi-Ping Hung

Sleep is the primary mean of recovery from accumulated fatigue and thus plays a crucial role in fostering people's mental and physical well-being. Sleep quality monitoring systems are often implemented using wearables that leverage their…

Human-Computer Interaction · Computer Science 2023-08-15 Nouran Abdalazim , Leonardo Alchieri , Lidia Alecci , Silvia Santini

Reaction time (RT) is a fundamental measure in cognitive and neurophysiological assessment, yet most existing RT systems require active user engagement and controlled environments, limiting their use in real-world settings. This paper…

Quantitative Methods · Quantitative Biology 2026-03-13 Abhigyan Sarkar , Boris Rubinsky

With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate (HR) detection systems. HR is a key physiological marker of cardiovascular health and physical fitness. Continuous…

Human-Computer Interaction · Computer Science 2023-04-25 Kayla-Jade Butkow , Ting Dang , Andrea Ferlini , Dong Ma , Cecilia Mascolo

We propose a method that stimulates musical vibration (generated from and synchronized with musical signals), modulated by the direction and distance to the target, on both sides of a user's neck with Hapbeat, a necklace-type haptic…

Human-Computer Interaction · Computer Science 2023-04-27 Yusuke Yamazaki , Shoichi Hasegawa

This project introduces a wearable, non-intrusive device for snoring detection and remediation, designed to be placed under or alongside a pillow. The device uses sensors and machine learning algorithms to detect snoring and employs gentle…

Human-Computer Interaction · Computer Science 2024-01-18 Andrew Ajemian , John Knight , Tommy Nguyen , John O'Connor

Humans can play a more active role in improving their comfort in the built environment if given the right information at the right place and time. This paper outlines the use of Just-in-Time Adaptive Interventions (JITAI) implemented in the…

Human-Computer Interaction · Computer Science 2025-08-13 Clayton Miller , Yun Xuan Chua , Matias Quintana , Binyu Lei , Filip Biljecki , Mario Frei

This paper proposes an atomic behaviour intervention strategy using the Pavlok wearable device. Pavlok utilises beeps, vibration and shocks as a mode of aversion technique to help individuals with behaviour modification. While the device…

Computer Vision and Pattern Recognition · Computer Science 2025-07-16 Md Rakibul Hasan , Shreya Ghosh , Pradyumna Agrawal , Zhixi Cai , Abhinav Dhall , Tom Gedeon

Auditory, haptic, and visual stimuli provide alerts, notifications, and information for a wide variety of applications ranging from virtual reality to wearable and hand-held devices. Response times to these stimuli have been used to assess…

Human-Computer Interaction · Computer Science 2023-05-30 Kyle T. Yoshida , Joel X. Kiernan , Allison M. Okamura , Cara M. Nunez

Automatic sleep staging typically relies on gold-standard EEG setups, which are accurate but obtrusive and impractical for everyday use outside sleep laboratories. This limits applicability in real-world settings, such as home environments,…

Machine Learning · Computer Science 2025-09-16 Philipp Lepold , Jonas Leichtle , Tobias Röddiger , Michael Beigl

The technological advancement in wireless health monitoring through the direct contact of the skin allows the development of light-weight wrist-worn wearable devices to be equipped with different sensors such as photoplethysmography (PPG)…

Haptic feedback can improve safety of teleoperated robots when situational awareness is limited or operators are inattentive. Standard potential field approaches increase haptic resistance as an obstacle is approached, which is desirable…

Robotics · Computer Science 2024-01-09 Ninghan Zhong , Kris Hauser

Fitness can help to strengthen muscles, increase resistance to diseases, and improve body shape. Nowadays, a great number of people choose to exercise at home/office rather than at the gym due to lack of time. However, it is difficult for…

Sound · Computer Science 2025-04-01 Yadong Xie , Fan Li , Yue Wu , Yu Wang

In this article, we develop a new adaptive event-triggered asymptotic control scheme for strict-feedback systems with fast time-varying parameters. To deal with time-varying parameters with unknown variation boundaries in the feedback path…

Systems and Control · Electrical Eng. & Systems 2023-12-12 Yan Tan , Liucang Wu , Wenqi Liu

The average wavelet coefficient method is applied to investigate the scaling features of heart rate variability during meditation, a state of induced mental relaxation. While periodicity dominates the behavior of the heart rate time series…

Biological Physics · Physics 2009-01-28 Nikitas Papasimakis , Fotini Pallikari

Social interactions play a crucial role in shaping human behavior, relationships, and societies. It encompasses various forms of communication, such as verbal conversation, non-verbal gestures, facial expressions, and body language. In this…

Machine Learning · Computer Science 2026-05-13 Alice Zhang , Callihan Bertley , Dawei Liang , Edison Thomaz

Stimulation of target neuronal populations using optogenetic techniques during specific sleep stages has begun to elucidate the mechanisms and effects of sleep. To conduct closed-loop optogenetic sleep studies in untethered animals, we…

Neurons and Cognition · Quantitative Biology 2021-08-30 Xilin Liu , Andrew G. Richardson

This study addresses the challenge of low dexterity in teleoperation tasks caused by limited sensory feedback and visual occlusion. We propose a novel approach that integrates haptic feedback into teleoperation using the adaptive triggers…

The reactions of the human body to physical exercise, psychophysiological stress and heart diseases are reflected in heart rate variability (HRV). Thus, continuous monitoring of HRV can contribute to determining and predicting issues in…

Closed-loop brain stimulation holds potential as personalized treatment for drug-resistant epilepsy (DRE) but still suffers from limitations that result in highly variable efficacy. First, stimulation is typically delivered upon detection…