Human Pose Estimation Using Artificial Intelligence

Himanshu Sharma, Anshul Tickoo (), Avinash K. Shrivastava () and Umer Khan
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Himanshu Sharma: Amity University
Anshul Tickoo: Amity University
Avinash K. Shrivastava: International Management Institute
Umer Khan: Amity University

A chapter in Applications in Reliability and Statistical Computing, 2023, pp 245-270 from Springer

Abstract: Abstract Artificial intelligence is currently grabbing the attention of the developers, reason being that its vast applications. One of such applications is Human Pose Estimation. Estimating postures of human is amongst the trending topics in the research field nowadays. In this, the system is provided with the trained model and by the help of which the system can look for joints in body of the person standing in front of it. It has vast applications like it can be utilized for checking fitness of an athlete, to check if a person is doing exercise properly or not. In this paper we discuss modelling a gym tracker using artificial intelligence. Here we are counting repetitions of 4 exercises: squats, pushups, curls, pullups.

Keywords: AI (Artificial intelligence); Mediapipe; Pose estimation; Human body models (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-21232-1_13

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DOI: 10.1007/978-3-031-21232-1_13

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