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Related papers: Closed-Loop Rhythmic Haptic Biofeedback via Smartw…

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Electrotactile feedback is a promising method for delivering haptic sensations, but challenges such as the naturalness of sensations hinder its adoption in commercial devices. In this study, we introduce a novel device that enables the…

Human-Computer Interaction · Computer Science 2025-02-27 Amirhossein Bayat , Melika Emami , Rahim Tafazolli , Atta Quddus

Periods of heightened arousal or restlessness can interfere with children's ability to focus, self-regulation, and physically calm. Technologies that encourage embodied self-regulation through tactile interaction may provide a simple and…

Robotics · Computer Science 2026-05-28 Morten Roed Frederiksen , Kasper Støy , Maja Matarić

This paper introduces a novel approach for enabling real-time imitation of human head motion by a Nao robot, with a primary focus on elevating human-robot interactions. By using the robust capabilities of the MediaPipe as a computer vision…

Multiple organs in a living system respond to environmental changes, and the signals from the organs regulate the physiological environment. Inspired by this biological feedback, we propose a simple autonomous system of active rotators to…

Statistical Mechanics · Physics 2020-03-02 Taegeun Song , Heetae Kim , Seung-Woo Son , Junghyo Jo

Recently, growing health awareness, novel methods allow individuals to monitor sleep at home. Utilizing sleep sounds offers advantages over conventional methods like smartwatches, being non-intrusive, and capable of detecting various…

Machine Learning · Computer Science 2024-10-18 Shintaro Tamai , Masayuki Numao , Ken-ichi Fukui

Environmental noise coupling to mechanical experiments often introduces low-frequency fluctuations to the resonators, adding noise to measurements and reducing signal to noise. To counter these fluctuations, we demonstrate a dynamic…

Instrumentation and Detectors · Physics 2023-07-13 J. P. van Soest , C. A. Potts , S. Peiter , A. Sanz Mora , G. A. Steele

Although it has been shown that augmented multimodal feedback has a facilitatory effect on motor performance for motor learning and music training, the functionality of haptic feedback combined with other modalities in rhythmic movement…

Human-Computer Interaction · Computer Science 2020-02-18 Feng Feng , Shang Kai , Tony Stockman

IoT-based devices and wearable sensors are now common in daily life, with smartwatches, smartphones, and other digital tools tracking physical activity and health data. This lifelogging process provides valuable insights into people's…

Human-Computer Interaction · Computer Science 2025-03-13 Yu Peng , Guoqing Zhang , Huadong Pang

Wearable devices capture physiological and behavioral data with increasing fidelity, but the psychological context shaping these outcomes is difficult to recover from sensor data alone, limiting passive sensing utility for digital health.…

Advances in IoT technologies combined with new algorithms have enabled the collection and processing of high-rate multi-source data streams that quantify human behavior in a fine-grained level and can lead to deeper insights on individual…

The Hopf oscillator has been shown to capture many phenomena of the auditory and vestibular systems. These systems exhibit remarkable temporal resolution and sensitivity to weak signals, as they are able to detect sounds that induce motion…

Chaotic Dynamics · Physics 2019-05-22 Justin Faber , Dolores Bozovic

Excess alcohol consumption leads to serious health risks and severe consequences for both individuals and their communities. To advocate for healthier drinking habits, we introduce a groundbreaking mobile smartwatch application approach to…

Communicating information to users is a crucial aspect of human-machine interaction. Vibrotactile feedback encodes information into spatiotemporal vibrations, enabling users to perceive tactile sensations. It offers advantages such as…

Robotics · Computer Science 2024-09-16 Jingchen Huang , Yun Fang , Weichao Guo , Xinjun Sheng

Ingestive behavior plays a critical role in health, yet many existing interventions remain limited to static guidance or manual self-tracking. With the increasing integration of sensors, context-aware computing, and perceptual computing,…

Human-Computer Interaction · Computer Science 2025-08-08 Jun Fang , Yanuo Zhou , Ka I Chan , Jiajin Li , Zeyi Sun , Zhengnan Li , Zicong Fu , Hongjing Piao , Haodong Xu , Yuanchun Shi , Yuntao Wang

Since the first recordings made of evoked action potentials it has become apparent that the responses of individual neurons to ongoing physiologically relevant input, are highly variable. This variability is manifested in non-stationary…

Neurons and Cognition · Quantitative Biology 2010-08-10 Avner Wallach , Danny Eytan , Asaf Gal , Christoph Zrenner , Ron Meir , Shimon Marom

Sleep is commonly studied through neurochemical, evolutionary, and behavioral frameworks, typically emphasizing circadian rhythms and energy conservation. However, these approaches do not fully explain a deeper biophysical question: why…

Other Quantitative Biology · Quantitative Biology 2025-06-18 Brathikan Vijayamohan Mankayarkarasi

Combining interconnected wearables provides fascinating opportunities like augmenting exergaming with virtual coaches, feedback on the execution of sports activities, or how to improve on them. Breathing rhythm is a particularly interesting…

Weakly electric fish are unique models in Neuroscience allowing experimentalists to access, with non invasive techniques,a central nervous system generated spatio-temporal electric pattern of pulses with roles in at least two complex and…

Quantitative Methods · Quantitative Biology 2012-01-24 Caroline Garcia Forlim , Reynaldo Daniel Pinto

We aim to assess the effectiveness of feedback controlled resonant drift pacing as a method for low energy defibrillation. Antitachycardia pacing is the only low energy defibrillation approach to have gained clinical significance, but it is…

Tissues and Organs · Quantitative Biology 2009-11-13 S. W. Morgan , G. Plank , I. V. Biktasheva , V. N. Biktashev

Wearable robotic devices have potential to assist and protect their users. Toward design of a Smart Helmet, this article examines the effectiveness of audio and visual warnings to help participants brace for impacts. A user study examines…

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