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Sensing technology has significantly advanced in automating systems that reflect human movement, particularly in robotics and healthcare, where it is used to automatically detect target movements. This study develops a method to…

Machine Learning · Computer Science 2024-10-10 Yooseok Lim , Sujee Lee

Smartphone applications designed to track human motion in combination with wearable sensors, e.g., during physical exercising, raised huge attention recently. Commonly, they provide quantitative services, such as personalized training…

Machine Learning · Computer Science 2017-11-23 Andre Ebert , Michael Till Beck , Andy Mattausch , Lenz Belzner , Claudia Linnhoff Popien

Counting the repetition of human exercise and physical rehabilitation is a common task in rehabilitation and exercise training. The existing vision-based repetition counting methods less emphasize the concurrent motions in the same video.…

Computer Vision and Pattern Recognition · Computer Science 2021-07-30 Yu Cheng Hsu , Qingpeng Zhang , Efstratios Tsougenis , Kwok-Leung Tsui

Physical exercise is an essential component of rehabilitation programs that improve quality of life and reduce mortality and re-hospitalization rates. In AI-driven virtual rehabilitation programs, patients complete their exercises…

Computer Vision and Pattern Recognition · Computer Science 2023-04-20 Ali Abedi , Paritosh Bisht , Riddhi Chatterjee , Rachit Agrawal , Vyom Sharma , Dinesh Babu Jayagopi , Shehroz S. Khan

In recent years, working out in the gym has gotten increasingly more data-focused and many gym enthusiasts are recording their exercises to have a better overview of their historical gym activities and to make a better exercise plan for the…

Systems and Control · Electrical Eng. & Systems 2024-01-12 Sizhen Bian , Alexander Rupp , Michele Magno

Repetitive counting (RepCount) is critical in various applications, such as fitness tracking and rehabilitation. Previous methods have relied on the estimation of red-green-and-blue (RGB) frames and body pose landmarks to identify the…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Haodong Chen , Ming C. Leu , Md Moniruzzaman , Zhaozheng Yin , Solmaz Hajmohammadi

The main purpose of the paper is development, implementation, and testing of a low-cost portable system to assist partially paralyzed patients in their hand rehabilitation after strokes or some injures. Rehabilitation includes time…

Human-Computer Interaction · Computer Science 2025-03-18 Hussein Naeem Hasan

Smartphones equipped with sensors such as accelerometers, gyroscopes, and magnetometers offer valuable opportunities for physics education, allowing students to measure motion using their own devices. However, commonly used applications…

Physics Education · Physics 2026-03-06 Keita Nishioka , Yasuhiro Tanaka

Even though it is well known that physical exercises have numerous emotional and physical health benefits, maintaining a regular exercise routine is quite challenging. Fortunately, there exist technologies that promote physical activity.…

Human-Computer Interaction · Computer Science 2020-04-22 Shun Ishii , Kizito Nkurikiyeyezu , Anna Yokokubo , Guillaume Lopez

Human physical motion activity identification has many potential applications in various fields, such as medical diagnosis, military sensing, sports analysis, and human-computer security interaction. With the recent advances in smartphones…

Human-Computer Interaction · Computer Science 2022-01-24 Abdulrahman Alruban , Hind Alobaidi , Nathan Clarke' Fudong Li

Artificial intelligence technology has made its way absolutely necessary in a variety of industries including the fitness industry. Human pose estimation is one of the important researches in the field of Computer Vision for the last few…

Computer Vision and Pattern Recognition · Computer Science 2020-05-08 Talal Alatiah , Chen Chen

Wearable sensors such as Inertial Measurement Units (IMUs) are often used to assess the performance of human exercise. Common approaches use handcrafted features based on domain expertise or automatically extracted features using time…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Ashish Singh , Antonio Bevilacqua , Timilehin B. Aderinola , Thach Le Nguyen , Darragh Whelan , Martin O'Reilly , Brian Caulfield , Georgiana Ifrim

Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone. The system uses a 3-dimentional smartphone accelerometer as…

Computers and Society · Computer Science 2014-02-03 Amin Rasekh , Chien-An Chen , Yan Lu

Walking speed estimation is an essential component of mobile apps in various fields such as fitness, transportation, navigation, and health-care. Most existing solutions are focused on specialized medical applications that utilize body-worn…

Computers and Society · Computer Science 2019-03-07 Aawesh Shrestha , Myounggyu Won

Unhealthy behaviors, e.g., physical inactivity and unhealthful food choice, are the primary healthcare cost drivers in developed countries. Pervasive computational, sensing, and communication technology provided by smartphones and…

Machine Learning · Computer Science 2021-01-29 Arash Mahyari , Peter Pirolli

Inertial measurement units have the ability to accurately record the acceleration and angular velocity of human limb segments during discrete joint movements. These movements are commonly used in exercise rehabilitation programmes following…

Human-Computer Interaction · Computer Science 2018-12-11 Antonio Bevilacqua , Bingquan Huang , Rob Argent , Brian Caulfield , Tahar Kechadi

Continuous, ubiquitous monitoring through wearable sensors has the potential to collect useful information about users' context. Heart rate is an important physiologic measure used in a wide variety of applications, such as fitness tracking…

Machine Learning · Computer Science 2019-12-20 Nutta Homdee , Mehdi Boukhechba , Yixue W. Feng , Natalie Kramer , John Lach , Laura E. Barnes

The great success of wearables and smartphone apps for provision of extensive physical workout instructions boosts a whole industry dealing with consumer oriented sensors and sports equipment. But with these opportunities there are also new…

Computers and Society · Computer Science 2017-11-23 Andre Ebert , Marie Kiermeier , Chadly Marouane , Claudia Linnhoff-Popien

Computer-aided assessment of physical rehabilitation entails evaluation of patient performance in completing prescribed rehabilitation exercises, based on processing movement data captured with a sensory system. Despite the essential role…

Machine Learning · Computer Science 2020-01-24 Y. Liao , A. Vakanski , M. Xian

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
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