Yoga posture recognition using the deep learning process
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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Brac University
2023
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10361-180022023-03-22T21:01:47Z Yoga posture recognition using the deep learning process Islam, Abidul Sadman, Zarif Imran, Shah Islam, Sazzadul Ashraf, Faisal Bin Department of Computer Science and Engineering, Brac University Yoga posture Deep learning Learning theory Artificial intelligence (AI) Machine learning Cognitive learning theory This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-37). Yoga is one of the best activities from home to preserve our physical condition in the present epidemic. Yoga, on the other hand, is all about performing the 82 Yoga Asanas correctly over the course of six classes. Regrettably, not everyone have the knowledge or can perform yoga accurately. So to do yoga poses correctly we will have to find a yoga instructor, but it can be very hard and expensive to find yoga instructors considering all possible general situation and status. Using Deep Learning(DL), picture categorization and various machine learning approaches, we attempted to build a system or a model that will operate as a self-instructor of Yoga for the user to classify different poses of yoga to distinguish accurate pose in our thesis. It will assist the user in performing Yoga correctly by recognizing errors in their Yoga Asanas. In a nutshell, this section will cover several posture estimation, key point detection, and pose categorization techniques. Moreover, we tried ensemble modeling as a booster to improve the pose prediction accuracy as much as possible. Abidul Islam Zarif Sadman Shah Imran Sazzadul Islam B. Computer Science 2023-03-22T06:17:35Z 2023-03-22T06:17:35Z 2022 2022-05 Thesis ID 18301144 ID 18301008 ID 18326032 ID 18301162 http://hdl.handle.net/10361/18002 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 37 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Yoga posture Deep learning Learning theory Artificial intelligence (AI) Machine learning Cognitive learning theory |
spellingShingle |
Yoga posture Deep learning Learning theory Artificial intelligence (AI) Machine learning Cognitive learning theory Islam, Abidul Sadman, Zarif Imran, Shah Islam, Sazzadul Yoga posture recognition using the deep learning process |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
author2 |
Ashraf, Faisal Bin |
author_facet |
Ashraf, Faisal Bin Islam, Abidul Sadman, Zarif Imran, Shah Islam, Sazzadul |
format |
Thesis |
author |
Islam, Abidul Sadman, Zarif Imran, Shah Islam, Sazzadul |
author_sort |
Islam, Abidul |
title |
Yoga posture recognition using the deep learning process |
title_short |
Yoga posture recognition using the deep learning process |
title_full |
Yoga posture recognition using the deep learning process |
title_fullStr |
Yoga posture recognition using the deep learning process |
title_full_unstemmed |
Yoga posture recognition using the deep learning process |
title_sort |
yoga posture recognition using the deep learning process |
publisher |
Brac University |
publishDate |
2023 |
url |
http://hdl.handle.net/10361/18002 |
work_keys_str_mv |
AT islamabidul yogaposturerecognitionusingthedeeplearningprocess AT sadmanzarif yogaposturerecognitionusingthedeeplearningprocess AT imranshah yogaposturerecognitionusingthedeeplearningprocess AT islamsazzadul yogaposturerecognitionusingthedeeplearningprocess |
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