Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
An overview of Human Action Recognition in sports based on Computer Vision
K Host, M Ivašić-Kos - Heliyon, 2022 - cell.com
Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …
A comprehensive review of computer vision in sports: Open issues, future trends and research directions
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …
achieved significant improvements to enable a variety of critical operations. To provide …
Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance
Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …
detailed analysis. The implementation of automated detection and recognition of sport …
Multi-user activity recognition: Challenges and opportunities
Human activity recognition has attracted enormous research interest thanks to its
fundamental importance in several domains spanning from health-care to security, safety …
fundamental importance in several domains spanning from health-care to security, safety …
Artificial intelligence in elite sports—a narrative review of success stories and challenges
F Hammes, A Hagg, A Asteroth, D Link - Frontiers in Sports and Active …, 2022 - frontiersin.org
This paper explores the role of artificial intelligence (AI) in elite sports. We approach the
topic from two perspectives. Firstly, we provide a literature based overview of AI success …
topic from two perspectives. Firstly, we provide a literature based overview of AI success …
Surface electromyography and artificial intelligence for human activity recognition-A systematic review on methods, emerging trends applications, challenges, and …
Human activity recognition (HAR) has become increasingly popular in recent years due to its
potential to meet the growing needs of various industries. Electromyography (EMG) is …
potential to meet the growing needs of various industries. Electromyography (EMG) is …
Player tracking data in sports
SA Kovalchik - Annual Review of Statistics and Its Application, 2023 - annualreviews.org
There has been rapid growth in the collection of player tracking data in recent years. These
data, providing spatiotemporal locations of players and ball at high resolution, have spurred …
data, providing spatiotemporal locations of players and ball at high resolution, have spurred …
Event detection in coarsely annotated sports videos via parallel multi-receptive field 1d convolutions
In problems such as sports video analytics, it is difficult to obtain accurate frame-level
annotations and exact event duration because of the lengthy videos and sheer volume of …
annotations and exact event duration because of the lengthy videos and sheer volume of …
[HTML][HTML] Hockey activity recognition using pre-trained deep learning model
Activity recognition in sports is often complex task resulting from the rapid dynamic
interaction within players. In this paper, pre-trained VGG-16, deep learning based hockey …
interaction within players. In this paper, pre-trained VGG-16, deep learning based hockey …