INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Squat, Posture, HOG, SVM, Linear Kernel
Cite Article:
"Utilization of Support Vector Machine and Histogram of Oriented Gradients in Squat Posture Classification", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b375-b383, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311149.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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