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An Overview of Multi Agent System for Sports and Healthcare Industry


Affiliations
1 Goswami Ganesh DuttaSanatanDharam College, Chandigarh, India
2 DCSA, Panjab University, Chandigarh, India
 

Playersmore often engage in excessive physical activities during exercise session as well as in the game session because results of the games highly depend over the performance of participants that can be degraded due to various factors current health status, injury history, exercise types and duration, training and game experience. A Multi agent System can analyze all these factors and the overall performance of the participants can be improved using feedback. In this paper, the role of the Artificial Intelligence, Expert System, Machine/Deep Learning/Neural Networks in the sports and healthcare industry will be explored.

Keywords

Artificial Intelligence; Decision Support; Expert System; Fuzzy Logic; Multi Agent System; Sports Injuries.
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  • An Overview of Multi Agent System for Sports and Healthcare Industry

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Authors

Naveen Dalal
Goswami Ganesh DuttaSanatanDharam College, Chandigarh, India
Indu Chhabra
DCSA, Panjab University, Chandigarh, India

Abstract


Playersmore often engage in excessive physical activities during exercise session as well as in the game session because results of the games highly depend over the performance of participants that can be degraded due to various factors current health status, injury history, exercise types and duration, training and game experience. A Multi agent System can analyze all these factors and the overall performance of the participants can be improved using feedback. In this paper, the role of the Artificial Intelligence, Expert System, Machine/Deep Learning/Neural Networks in the sports and healthcare industry will be explored.

Keywords


Artificial Intelligence; Decision Support; Expert System; Fuzzy Logic; Multi Agent System; Sports Injuries.

References





DOI: https://doi.org/10.13005/ojcst13.0203.07