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Live gym tracker using artificial intelligence.

Authors :
Babu, Ayman Hayath
Shanthakumar, Sriram
Malarselvi, G.
Source :
AIP Conference Proceedings. 2024, Vol. 3075 Issue 1, p1-9. 9p.
Publication Year :
2024

Abstract

There is a correlation between our posture and our physical and emotional wellness. The detection of various human postures has been approached in a variety of ways. Determine a patient's resting position, for example, using posture analysis in the medical industry. Image processing using OpenCV and mediapipe python library for human posture estimation. Analyzing standing and sitting postures is made easier with an image-processing-based technique. The benefits of fitness activities to a person's health are remarkable, but if they are done improperly, they may be ineffective and even detrimental. Exercise blunders happen when someone doesn't adopt the right posture. This suggested application makes use of pose estimation to identify the user's workout posture and then offers specific, tailored advice on what the user can do to correct their posture. A pose estimation module in python called mediapipe helps to detect all major joints of the human body. Then it calculates the angle between the joints and increases the counter for each repetition. Pose estimate uses a picture or video of the subject to determine the precise locations of the body's major joints. This computer vision technology recognizes human posture in films and displays important regions, such as the elbow or shoulder, in the finished product. Another way to work out at home is through interactive games. The proposed application has an interactive boxing game built using pygame, which helps all age groups to work out and take care of their health. Overall the user can track all their details on a workout on this application, like how many calories are burned and the daily goals, and different workout planners for each individual. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
3075
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
178685897
Full Text :
https://doi.org/10.1063/5.0217093