[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290378-105":59,"doc-detail-290378-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","yoga-pose-multiclass-classification-using-machine-learning-models-msc-research-project-data-analytics","Yoga Pose Multiclass Classification Using Machine Learning Models - MSc Research Project Data Analytics","","An ancient practice—Yoga—has become widely used for holistic benefits through physical postures and mind-control techniques. With advances in machine learning and computer vision, this MSc research project classifies yoga poses from images using image-recognition methods. The study applies data augmentation, then trains machine learning models with hyperparameter optimisation. Model performance is evaluated using accuracy, precision, recall, and F1-score, interpreting the implications for pose classification.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/yoga-pose-multiclass-classification-using-machine-learning-models-msc-research-project-data-analytics/290378/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/yoga-pose-multiclass-classification-using-machine-learning-models-msc-research-project-data-analytics/290378.png","ImageObject",300,407,{"name":92,"@type":93},"Eliana","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-17","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main goal of the research project?","Question",{"text":112,"@type":113},"To classify yoga poses from images using machine learning models supported by computer vision and pose recognition techniques.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How is the dataset prepared for model training?",{"text":117,"@type":113},"The approach uses data augmentation on the yoga pose image dataset before training the models.",{"name":119,"@type":110,"acceptedAnswer":120},"How are the models evaluated?",{"text":121,"@type":113},"Evaluation is based on accuracy, precision, recall, and F1-score, comparing model performance and discussing implications.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},290378,1789641526,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},4398048949847,"https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267","Yoga Pose Multiclass Classification Using Machine Learning Models  \nMSc Research Project Data Analytics  \nAishwarya Ubale  \nStudent ID: x22112081  \nSchool of Computing National College of Ireland  \nSupervisor: Christian Horn  \nNational College of Ireland Project Submission Sheet School of Computing  \n| Student Name: | Aishwarya Ubale |\n| --- | --- |\n| Student ID: | x22112081 |\n| Programme: | Data Analytics |\n| Year: | 2023-24 |\n| Module: | MSc Research Project |\n| Supervisor: | Christian Horn |\n| Submission Due Date: | 31/01/2024 |\n| Project Title: | Yoga Pose Multiclass Classification Using Machine Learning Models |\n| Word Count: | 8723 |\n| Page Count: | 20 |\n\nI hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author’s written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \n\n| Signature: | Aishwarya Ubale |\n| --- | --- |\n| Date: | 31st January 2024 |\n\nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST:  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) . | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both foryour own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nYoga Pose MultiClass Classification Using Machine  \nLearning Models  \nAishwarya Ubale  \nx22112081  \nAbstract  \nAn ancient practice-Yoga is substantially popular for its holistic benefits that involves physical postures and mind control practices. In today’s time, leveraging the advancements happening particularly in Machine learning and computer vision field has enhanced various aspects of Yoga. This research paper focuses Machine learning models to classify yoga poses using image recognition techniques. The dataset utilized for the same consists images of popularly known yoga poses.Performing augmentation on this dataset and through application of machine learning models-after performing hyper parameter optimisation, is utilized to perform the classification task. The evaluation of the experiments and performance of the models has been assessed using accuracy, Precision, Recall, F1-Score and discusses the implications of these findings in the context of yoga pose classification. The comparative study highlights the potential improvement in the performance of Support Vector Classifier than other models with accuracy of 87% where as Decision Tree Classifier being the least improved model performing average with 71% accuracy. When contrasted with other existing approaches that do not use augmentation as one of the prepossessing steps and also uses heavy in size deep learning models for yoga pose classification task,the experimental outcome demonstrates the superior accuracy and efficiency of the proposed methodology that utilizes combination of preprocessed-augmented and fine-tuned hyper parameters for machine learning models.  \nKeywords-Random Forest Classifier, Support Vector Machine, Decision Tree Classifer, K-Nearest Neighbour Classifier, Gradient Boost Classifier, MediaPipe, Computer Vision.  \n1 Introduction  \nThere has been an increased demand for Yoga practice due to it flexible feature-no need for any equipment or specific environ","cbCaiidq8qOmEZlQ","https://ap.wps.com/l/cbCaiidq8qOmEZlQ","pdf",3607480,22,"English","# Abstract\n# 1 Introduction\n## Yoga practice demand and fitness tracking\n## Machine learning and computer vision for pose detection\n## Pose recognition libraries (MediaPipe Pose, OpenPose, PoseNet, MoveNet)\n## Goal and approach of the research","[{\"question\":\"What is the main goal of the research project?\",\"answer\":\"To classify yoga poses from images using machine learning models supported by computer vision and pose recognition techniques.\"},{\"question\":\"How is the dataset prepared for model training?\",\"answer\":\"The approach uses data augmentation on the yoga pose image dataset before training the models.\"},{\"question\":\"How are the models evaluated?\",\"answer\":\"Evaluation is based on accuracy, precision, recall, and F1-score, comparing model performance and discussing implications.\"}]","Yoga Pose Multiclass Classification Using Machine Learning Models - MSc Research Project Data Analytics | PDF",55]