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Effective stroke recovery requires continuous rehabilitation integrated with daily living. To support this need, we propose a home-based rehabilitation exercise and feedback system. The system consists of (1) hardware setup with RGB-D…

Image and Video Processing · Electrical Eng. & Systems 2026-02-03 Suhyeon Lim , Ye-eun Kim , Andrew J. Choi

Good posture and form are essential for safe and productive exercising. Even in gym settings, trainers may not be readily available for feedback. Rehabilitation therapies and fitness workouts can thus benefit from recommender systems that…

Artificial Intelligence · Computer Science 2023-10-12 Abhishek Jaiswal , Gautam Chauhan , Nisheeth Srivastava

The increase in world elderly population has significantly underlined the need for continuous health care measurement, specifically in rehabilitation monitoring. The new technologies has enabled people to have in home healthcare services,…

Human-Computer Interaction · Computer Science 2020-10-20 Shayan Shokri , Shane Ward , Pierre-Amaury M. Anton , Paolo Siffredi , Guglielmo Papetti

Personalization of exercise routines is a crucial factor in helping people achieve their fitness goals. Despite this, many contemporary solutions fail to offer real-time, adaptive feedback tailored to an individual's physiological states.…

Human-Computer Interaction · Computer Science 2026-04-02 Shivangi Agarwal , Zoya Ghoshal , Bharat Jain , Siddharth Siddharth

Over the last decade, there has been significant progress in the field of interactive virtual rehabilitation. Physical therapy (PT) stands as a highly effective approach for enhancing physical impairments. However, patient motivation and…

Human-Computer Interaction · Computer Science 2024-05-24 Pavan Uttej Ravva , Pinar Kullu , Mohammad Fahim Abrar , Roghayeh Leila Barmaki

Partial-assistance exoskeletons hold significant potential for gait rehabilitation by promoting active participation during (re)learning of normative walking patterns. Typically, the control of interaction torques in partial-assistance…

Sports franchises invest a lot in training their athletes. use of latest technology for this purpose is also very common. We propose a system of capturing motion of athletes during weight training and analyzing that data to find out any…

Human-Computer Interaction · Computer Science 2020-09-22 Muhammad Umair Khan , Khawar Saeed , Sidra Qadeer

Teleoperation of robotic systems for precise and delicate object grasping requires high-fidelity haptic feedback to obtain comprehensive real-time information about the grasp. In such cases, the most common approach is to use kinesthetic…

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…

Exercise-based rehabilitation programs have been shown to enhance quality of life and reduce mortality and rehospitalizations. AI-driven virtual rehabilitation programs enable patients to complete exercises independently at home while AI…

Computer Vision and Pattern Recognition · Computer Science 2023-06-19 Ali Abedi , Mobin Malmirian , Shehroz S. Khan

The application of psychophysiological measures in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of…

Human-Computer Interaction · Computer Science 2016-09-28 Teppo Valtonen

Telerehabilitation systems that support physical therapy sessions anywhere can help save healthcare costs while also improving the quality of life of the users that need rehabilitation. The main contribution of this paper is to present, as…

Human-Computer Interaction · Computer Science 2024-01-18 David Anton , Idoia Berges , Jesús Bermúdez , Alfredo Goñi , Arantza Illarramendi

Multiple sclerosis (MS) is a progressive inflammatory and neurodegenerative disease of the central nervous system affecting over 2.5 million people globally. In-clinic six-minute walk test (6MWT) is a widely used objective measure to…

We propose a real-time 3D human pose estimation and motion analysis method termed RePose for rehabilitation training. It is capable of real-time monitoring and evaluation of patients'motion during rehabilitation, providing immediate…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Junxiao Xue , Pavel Smirnov , Ziao Li , Yunyun Shi , Shi Chen , Xinyi Yin , Xiaohan Yue , Lei Wang , Yiduo Wang , Feng Lin , Yijia Chen , Xiao Ma , Xiaoran Yan , Qing Zhang , Fengjian Xue , Xuecheng Wu

This paper presents a wearable electrotactile feedback system to enhance contact information for mid-air interactions with virtual objects. In particular, we propose the use of electrotactile feedback to render the interpenetration distance…

Human-Computer Interaction · Computer Science 2021-09-22 Sebastian Vizcay , Panagiotis Kourtesis , Ferran Argelaguet , Claudio Pacchierotti , Maud Marchal

Automated assessment of human motion plays a vital role in rehabilitation, enabling objective evaluation of patient performance and progress. Unlike general human activity recognition, rehabilitation motion assessment focuses on analyzing…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Ali Ismail-Fawaz , Maxime Devanne , Stefano Berretti , Jonathan Weber , Germain Forestier

Analyzing human motion is an active research area, with various applications. In this work, we focus on human motion analysis in the context of physical rehabilitation using a robot coach system. Computer-aided assessment of physical…

Human-Computer Interaction · Computer Science 2024-08-07 Aleksa Marusic , Louis Annabi , Sao Msi Nguyen , Adriana Tapus

Teleoperation interfaces are essential tools for enabling human control of robotic systems. Although a wide range of interfaces has been developed, a persistent gap remains between the level of performance humans can achieve through these…

Robotics · Computer Science 2026-01-21 Aliyah Smith , Monroe Kennedy

At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of integrated solutions capable of simultaneously monitoring…

Mindfulness training is widely recognized for its benefits in reducing depression, anxiety, and loneliness. With the rise of smartphone-based mindfulness apps, digital meditation has become more accessible, but sustaining long-term user…