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相关论文: On deploying the Artificial Sport Trainer into pra…

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We suppose that performance is a random variable whose expectation is related to training inputs, and we study four performance measures in a statistical model that relates performance to training. Our aim is to carry out a robust…

应用统计 · 统计学 2019-02-07 Phil Scarf , Mansour Shrahili , Naif Alotaibi , Simon Jobson , Louis Passfield

Sports analysis and viewing play a pivotal role in the current sports domain, offering significant value not only to coaches and athletes but also to fans and the media. In recent years, the rapid development of virtual reality (VR) and…

计算机视觉与模式识别 · 计算机科学 2024-05-03 Wenxuan Guo , Zhiyu Pan , Ziheng Xi , Alapati Tuerxun , Jianjiang Feng , Jie Zhou

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…

人机交互 · 计算机科学 2020-09-22 Muhammad Umair Khan , Khawar Saeed , Sidra Qadeer

While augmented reality (AR) research demonstrates benefits of embedded visualizations for gross motor training, its applicability to facial exercises remains under-explored. Providing effective real-time feedback for facial muscle training…

人机交互 · 计算机科学 2026-02-03 Avinash Ajit Nargund , Andrea M. Park , Tobias Höllerer , Misha Sra

Recent techniques for analyzing sports precisely has stimulated various approaches to improve player performance and fan engagement. However, existing approaches are only able to evaluate offline performance since testing in real-time…

机器学习 · 计算机科学 2022-11-23 Li-Chun Huang , Nai-Zen Hseuh , Yen-Che Chien , Wei-Yao Wang , Kuang-Da Wang , Wen-Chih Peng

Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine…

Many people engage in self-directed sports training at home but lack the real-time guidance of professional coaches, making them susceptible to injuries or the development of incorrect habits. In this paper, we propose a novel application…

计算机视觉与模式识别 · 计算机科学 2023-11-03 Wei-Hsin Yeh , Pei Hsin Lin , Yu-An Su , Wen Hsiang Cheng , Lun-Wei Ku

Supercomputers are complex systems producing vast quantities of performance data from multiple sources and of varying types. Performance data from each of the thousands of nodes in a supercomputer tracks multiple forms of storage, memory,…

Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. However, existing solutions lack the ability to simultaneously capture breath-force…

信号处理 · 电气工程与系统科学 2025-11-18 Chenyu Tang , Wentian Yi , Zibo Zhang , Edoardo Occhipinti , Luigi G. Occhipinti

With continual advancements in technology, efforts to develop robots simulating human behavior have intensified. Cognitive robotics, combined with artificial intelligence (AI), has proven effective in surveying and research analysis.…

机器人学 · 计算机科学 2024-11-26 Hariharan Ragothaman , Harihar M , SK Guhananthan

Advances in embedded systems have enabled integration of many lightweight sensory devices within our daily life. In particular, this trend has given rise to continuous expansion of wearable sensors in a broad range of applications from…

机器学习 · 计算机科学 2019-07-09 Mahdi Pedram , Seyed Ali Rokni , Marjan Nourollahi , Houman Homayoun , Hassan Ghasemzadeh

Sports analysis has gained paramount importance for coaches, scouts, and fans. Recently, computer vision researchers have taken on the challenge of collecting the necessary data by proposing several methods of automatic player and ball…

计算机视觉与模式识别 · 计算机科学 2022-04-11 Pegah Rahimian , Laszlo Toka

Advanced wearable sensor devices have enabled the recording of vast amounts of movement data from individuals regarding their physical activities. This data offers valuable insights that enhance our understanding of how physical activities…

软件工程 · 计算机科学 2024-08-20 Thomas Peroutka , Ilir Murturi , Praveen Kumar Donta , Schahram Dustdar

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…

系统与控制 · 电气工程与系统科学 2024-01-12 Sizhen Bian , Alexander Rupp , Michele Magno

The remarkable athletic intelligence displayed by humans in complex dynamic movements such as dancing and gymnastics suggests that the balance mechanism in biological beings is decoupled from specific movement patterns. This decoupling…

机器人学 · 计算机科学 2024-04-15 Jiayi Li , Linqi Ye , Yi Cheng , Houde Liu , Bin Liang

The integration of Artificial Intelligence (AI) into sports officiating represents a paradigm shift in how decisions are made in competitive environments. Traditional manual systems, even when supported by Instant Video Replay (IVR), often…

计算机视觉与模式识别 · 计算机科学 2025-07-23 Keivan Shariatmadar , Ahmad Osman

The automated analysis of human behaviour provides many opportunities for the creation of interactive systems and the post-experiment investigations for user studies. Commodity depth cameras offer reasonable body tracking accuracy at a low…

人机交互 · 计算机科学 2025-06-25 Adrien Coppens , Valérie Maquil

Artificial intelligence is poised to transform teaching and coaching practices,yet its optimal role alongside human expertise remains unclear.This study investigates human and AI collaboration in fitness education through a one year…

计算机与社会 · 计算机科学 2025-06-10 Qian Huang , King Wang Poon

Wearable devices have the potential to enhance sports performance, yet they are not fulfilling this promise. Our previous studies with 6 professional tennis coaches and 20 players indicate that this could be due the lack of psychological or…

Artificial Intelligence (AI) has found application in Human Activity Recognition (HAR) in competitive sports. To date, most Machine Learning (ML) approaches for HAR have relied on offline (batch) training, imposing higher computational and…