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 …
Upper body activity classification using an inertial measurement unit in court and field-based sports: A systematic review
J McGrath, J Neville, T Stewart… - Proceedings of the …, 2021 - journals.sagepub.com
Inertial measurement units (IMUs) are becoming increasingly popular in activity
classification and workload measurement in sport. This systematic literature review focuses …
classification and workload measurement in sport. This systematic literature review focuses …
Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports
Many injuries in sports are caused by overuse. These injuries are a major cause for reduced
performance of professional and non-professional beach volleyball players. Monitoring of …
performance of professional and non-professional beach volleyball players. Monitoring of …
A wearable device and system for movement and biometric data acquisition for sports applications
This paper presents a miniature wearable device and a system for detecting and recording
the movement and biometric information of a user during sport activities. The wearable …
the movement and biometric information of a user during sport activities. The wearable …
An end-to-end deep learning pipeline for football activity recognition based on wearable acceleration sensors
Action statistics in sports, such as the number of sprints and jumps, along with the details of
the corresponding locomotor actions, are of high interest to coaches and players, as well as …
the corresponding locomotor actions, are of high interest to coaches and players, as well as …
An evaluation of wearable inertial sensor configuration and supervised machine learning models for automatic punch classification in boxing
Machine learning is a powerful tool for data classification and has been used to classify
movement data recorded by wearable inertial sensors in general living and sports. Inertial …
movement data recorded by wearable inertial sensors in general living and sports. Inertial …
Smart soccer shoe: monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix
In this paper we present a smart soccer shoe that uses textile pressure sensing matrices to
detect and analyze the interaction between players' foot and the ball. We describe the …
detect and analyze the interaction between players' foot and the ball. We describe the …
Sensor data required for automatic recognition of athletic tasks using deep neural networks
Movement screens are used to assess the overall movement quality of an athlete. However,
these rely on visual observation of a series of movements and subjective scoring. Data …
these rely on visual observation of a series of movements and subjective scoring. Data …
A super-bagging method for volleyball action recognition using wearable sensors
Access to performance data during matches and training sessions is important for coaches
and players. Although there are many video tagging systems available which can provide …
and players. Although there are many video tagging systems available which can provide …
[HTML][HTML] Let it go! Point of release prediction for virtual throwing
In this paper, we present a novel real-time physical interaction system that allows users to
throw a virtual ball without using an intermediary device such as a controller. A dataset of …
throw a virtual ball without using an intermediary device such as a controller. A dataset of …