Computer Vision based workout application
Abstract & Details
Research Area
Computer Science Engineering,Cyber Security
Keywords
computer vison based application
computer vison
Abstract
Nowadays virtual assistants are playing a very important role
in our daily activities and have become an inseparable part of
our lives. Computer Vision is an emerging field that we aim to
explore through this project of CV-based workout assistants.
Our project focus is on building a convenient, user friendly
and self contained workout application which is based on
computer vision. The application will be able to guide the user
during his/her workout sessions and correct postures where
applicable. We wish to implement hands free control of this
application, by this the user can workout without using a
mouse or a keyboard. Having been able to identify the poses
and errors in posture of the user during the exercise we may be
able to give voice feedback to help the user correct his/her
posture. The application uses the MediaPipe to detect a
person's pose, and afterwards analyses the geometry of the
pose from the dataset and real-time video and counts the
repetitions of the particular exercise
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Anand Kumar B | AMC Engineering College |
| 2 | Anil Kumar | AMC Engineering College |
| 3 | Baba V S | AMC Engineering College |
| 4 | Basanna Gouda | AMC Engineering College |
| 5 | Bharath Yalagi | AMC Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
B, Anand Kumar, Kumar, Anil, S, Baba V, Gouda, Basanna, & Yalagi, Bharath (2023). Computer Vision based workout application. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 2352-2355.
MLA Style
B, Anand Kumar, et al. "Computer Vision based workout application." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 2352-2355.
IEEE Style
Anand Kumar B, Anil Kumar, Baba V S, Basanna Gouda, and Bharath Yalagi, "Computer Vision based workout application," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 2352-2355, 2023.
Vancouver Style
B Anand Kumar, Kumar Anil, S Baba V, Gouda Basanna, Yalagi Bharath. Computer Vision based workout application. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):2352-2355.
Harvard Style
B, Anand Kumar, Kumar, Anil, S, Baba V, Gouda, Basanna, & Yalagi, Bharath (2023) 'Computer Vision based workout application', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 2352-2355.
Chicago Style
B, Anand Kumar, et al. "Computer Vision based workout application." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2352-2355.
Turabian Style
B, Anand Kumar, et al. "Computer Vision based workout application." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2352-2355.
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