Open AccessAn Overview of Multi Agent System for Sports and Healthcare Industry
Author(s) -
Naveen Dalal,
Indu Chhabra
Publication year - 2021
Publication title -
oriental journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2320-8481
pISSN - 0974-6471
DOI - 10.13005/ojcst13.0203.07
Subject(s) - session (web analytics) , computer science , health care , duration (music) , healthcare industry , multimedia , artificial intelligence , human–computer interaction , world wide web , literature , art , economics , economic growth
Players more 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.