[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-450246-105":59,"doc-detail-450246-en":129},{"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":122,"head_meta":124,"extra_data":126,"updated_unix":128},105,"en","automated-identification-of-shankha-prakshalana-yoga-poses-with-machine-learning-techniques","Automated identification of Shankha Prakshalana yoga poses with machine learning techniques","","Automated yoga-pose recognition for Shankha Prakshalana is developed using computer vision to detect pose features from yoga videos and classify them into relevant pose categories. An annotated dataset of individuals performing Shankha Prakshalana supports training and evaluation of supervised and unsupervised machine learning architectures. Random Forest achieves the best recognition rate at 99.6%, outperforming other tested models. The system supports bridging traditional yogic practice with modern AI for monitoring and improving posture quality in varied environments.",{"@graph":69,"@context":121},[70,84,104],{"@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/automated-identification-of-shankha-prakshalana-yoga-poses-with-machine-learning-techniques/450246/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":98,"encodingFormat":97,"isAccessibleForFree":99,"interactionStatistic":100},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/automated-identification-of-shankha-prakshalana-yoga-poses-with-machine-learning-techniques/450246.png","ImageObject",300,407,{"name":92,"@type":93},"Miles","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-30",true,{"@type":101,"interactionType":102,"userInteractionCount":4},"InteractionCounter",{"@type":103},"ViewAction",{"@type":105,"mainEntity":106},"FAQPage",[107,113,117],{"name":108,"@type":109,"acceptedAnswer":110},"What yoga activity does the research focus on for pose detection?","Question",{"text":111,"@type":112},"The research targets Shankha Prakshalana, a yogic kriya, aiming to automatically detect its yoga poses from video input.","Answer",{"name":114,"@type":109,"acceptedAnswer":115},"How does the proposed system identify and classify yoga poses?",{"text":116,"@type":112},"It uses computer vision to extract pose features from yoga videos and then applies machine learning models for classification.",{"name":118,"@type":109,"acceptedAnswer":119},"Which machine learning model performed best in the experiments?",{"text":120,"@type":112},"The Random Forest classifier achieved superior performance with a recognition rate of 99.6%.","https://schema.org",{"og:url":83,"og:type":123,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":125,"canonical":83},"index,follow",{"doc_id":127,"site_id":62},450246,1790732625,{"code":4,"msg":5,"data":130},{"doc_id":127,"user_id":131,"nickname":92,"user_avatar":132,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":4,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":138,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":128,"read_time":41},13056703019404,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nAutomated identification of Shankha Prakshalana yoga poses with machine learning techniques  \nAbhishek Sharma1,5􀀍, Vaidehi Sharma1,5􀀍, Premansh Sharma2, Rishikesh Ladha2,5, Yogesh Lamba3,5 & Sulabh Bansal4,5􀀍  \nThis research presents an innovative model for automatically detecting yoga poses, specifically focusing on the yogic kriya known as “Shankha Prakshalana.”The proposed system utilizes advanced computer vision techniques to extract pose features from yoga videos for classification purposes. A carefully annotated dataset comprising videos of individuals practicing Shankha Prakshalana was used to train and evaluate various machine learning (ML) architectures, incorporating both supervised and unsupervised learning algorithms. Among the evaluated models, the Random Forest classifier demonstrated superior performance, achieving a remarkable recognition rate of 99.6%. This research significantly contributes to the integration of computer vision and yoga practice, offering potential applications that bridge traditional yogic techniques with modern technology. The developed system could have advantages for monitoring and improving yogic practices in various environments, marking a notable advancement in the field of automated pose detection systems.  \nKeywords Yoga pose recognition, Shankha Prakshalana, Machine learning, Random Forest, Pose detection, Yoga practice  \nAbbreviations  \nML Machine Learning SP Shankha Prakshalana  \nHCI Human Computer Interaction RF Random Forest  \nThe impact ofCOVID-19 has resulted in the deaths of millions of people globally. Both heart disease and stroke are serious public health issues; the former impairs mobility and is a leading contributor to disability. Mental health issues are becoming more prevalent; millions of individuals globally suffer from depression. In today’s environment, obesity, sedentary lifestyles, and poor nutrition are the primary causes of many health problems1.  \nFurthermore, there is no doubt about the impact that computers and computer-powered technologies have on healthcare and related fields, as well as every other field. Yoga, Zumba, martial arts, and other pastimes are commonly recognised as means to improve one’s health, as are routine medical procedures. With origins in ancient India, yoga is a broad category of activities aimed at improving a person’s physical, mental, and spiritual well-being2.  \nIntegrating technology into yoga practices can benefit from the use of artificial intelligence tools such as Pose-Net and Mobile-Net SSD, as well as human posture detection. In the field of Human Computer Interaction (HCI), identifying the human body presents a big issue3,4. It is frequently used for a variety of purposes, including as daily tasks, yoga, sports, and more. A key topic in computer vision is human posture estimation, which has applications in behaviour analysis, intelligent driver assistance systems, assisted living5and visual surveillance. Since the emergence of deep neural networks, pose estimation performance has significantly improved. Computer vision technology is employed to standardize and correct yoga postures. It’s important to perform yoga poses correctly to avoid injuries and long-term complications6. Studying human posture can help detect and address abnormal positions, enhancing overall well-being at home7.  \n1Electronics and Communication Engineering, LNMIIT, Jaipur, Rajasthan, India. 2Computer Science Engineering, LNMIIT, Jaipur, Rajasthan, India. 3Computer and Communication Engineering, LNMIIT, Jaipur, Rajasthan, India. 4Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India. 5Abhishek Sharma, Vaidehi Sharma, Rishikesh Ladha, Yogesh Lamba, Sulabh Bansal contributed equally to this work.  \n􀀍 email: [abhisheksharma@lnmiit.ac.in](abhisheksharma@lnmiit.ac.in); [19pec006@lnmiit.ac.in](19pec006@lnmiit.ac.in); [sulabh.bansal@jaipur.manip","cbCaic6YwD3Ci4JP","https://ap.wps.com/l/cbCaic6YwD3Ci4JP","pdf",2263947,12,"English","# Introduction\n## Background and motivation\n## Role of technology and pose estimation\n# Related works","[{\"question\":\"What yoga activity does the research focus on for pose detection?\",\"answer\":\"The research targets Shankha Prakshalana, a yogic kriya, aiming to automatically detect its yoga poses from video input.\"},{\"question\":\"How does the proposed system identify and classify yoga poses?\",\"answer\":\"It uses computer vision to extract pose features from yoga videos and then applies machine learning models for classification.\"},{\"question\":\"Which machine learning model performed best in the experiments?\",\"answer\":\"The Random Forest classifier achieved superior performance with a recognition rate of 99.6%.\"}]","Automated identification of Shankha Prakshalana yoga poses with machine learning techniques | PDF"]