Utilization of Support Vector Machine and Histogram of Oriented Gradients in Squat Posture Classification

Registration ID: IJNRD_208769

Published ID: IJNRD2311149

DOI: Click Here to Get

Sakuntala Dilhani Wipulasundara

Squat, Posture, HOG, SVM, Linear Kernel

The squat exercise is widely used as a muscle strengthening exercise in regular fitness exercising in the gym and at home on a daily basis. If not performed accurately there can be repercussions of the squat, which can cause physical complications to subjects. This research looks at classifying the bodyweight squat into one correct and three incorrect posture classes. Videos of the four postures have been obtained and image frames have been extracted from them. The Histogram of Oriented Gradients (HOG) descriptor has been applied on each image to extract features. These features and the grey image have both been combined to make the feature set rich. Support Vector Machine (SVM) with the linear kernel, has been utilized for classification and the method has shown a good level of accuracy on our data set and also on the data set used by another research group.

Published Paper   E-Certificate

Sakuntala Dilhani Wipulasundara (November-2023). Utilization of Support Vector Machine and Histogram of Oriented Gradients in Squat Posture Classification. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), b375-b383. https://ijnrd.org/papers/IJNRD2311149.pdf

Volume 8 Issue 11, November-2023

Pages : b375-b383

Paper Reg. ID: IJNRD_208769

Published Paper Id: IJNRD2311149

Downloads: 000121981

Research Area: Engineering

Country: Colombo 10, Colombo 10, Sri Lanka

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311149.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311149

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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