{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T14:36:44Z","timestamp":1780411004904,"version":"3.54.1"},"reference-count":80,"publisher":"Springer Science and Business Media LLC","issue":"34","license":[{"start":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T00:00:00Z","timestamp":1709856000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T00:00:00Z","timestamp":1709856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-024-18694-y","type":"journal-article","created":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T06:29:26Z","timestamp":1709879366000},"page":"81621-81663","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Exploration of deep learning architectures for real-time yoga pose recognition"],"prefix":"10.1007","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4375-4107","authenticated-orcid":false,"given":"Sumeet","family":"Saurav","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prashant","family":"Gidde","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanjay","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,8]]},"reference":[{"key":"18694_CR1","doi-asserted-by":"publisher","unstructured":"Alp\u00a0G\u00fcler R, Neverova N, Kokkinos I (2018) Densepose: dense human pose estimation in the wild. In: proceedings of the IEEE conference on computer vision and pattern recognition, pp 7297\u20137306. https:\/\/doi.org\/10.1109\/CVPR.2018.00762","DOI":"10.1109\/CVPR.2018.00762"},{"issue":"2","key":"18694_CR2","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/s42979-022-01618-8","volume":"4","author":"FB Ashraf","year":"2023","unstructured":"Ashraf FB, Islam MU, Kabir MR et al (2023) Yonet: A neural network for yoga pose classification. SN Comput Sci 4(2):198","journal-title":"SN Comput Sci"},{"key":"18694_CR3","doi-asserted-by":"publisher","unstructured":"Bai L, Efstratiou C, Ang CS (2016) Wesport: utilising wrist-band sensing to detect player activities in basketball games. In: 2016 IEEE international conference on pervasive computing and communication workshops (PerCom Workshops), IEEE, pp 1\u20136. https:\/\/doi.org\/10.1109\/PERCOMW.2016.7457167","DOI":"10.1109\/PERCOMW.2016.7457167"},{"key":"18694_CR4","doi-asserted-by":"publisher","unstructured":"Cao Z, Simon T, Wei SE, et\u00a0al (2017) Realtime multi-person 2d pose estimation using part affinity fields. In: proceedings of the IEEE conference on computer vision and pattern recognition, pp 7291\u20137299. https:\/\/doi.org\/10.1109\/CVPR.2017.143","DOI":"10.1109\/CVPR.2017.143"},{"key":"18694_CR5","doi-asserted-by":"publisher","first-page":"1090","DOI":"10.1109\/TIP.2019.2934350","volume":"29","author":"C Chen","year":"2019","unstructured":"Chen C, Wang G, Peng C et al (2019) Improved robust video saliency detection based on long-term spatial-temporal information. IEEE Trans Image Process 29:1090\u20131100","journal-title":"IEEE Trans Image Process"},{"key":"18694_CR6","doi-asserted-by":"publisher","first-page":"3995","DOI":"10.1109\/TIP.2021.3068644","volume":"30","author":"C Chen","year":"2021","unstructured":"Chen C, Wang G, Peng C et al (2021) Exploring rich and efficient spatial temporal interactions for real-time video salient object detection. IEEE Trans Image Process 30:3995\u20134007","journal-title":"IEEE Trans Image Process"},{"key":"18694_CR7","doi-asserted-by":"publisher","unstructured":"Chen HT, He YZ, Chou CL, et\u00a0al (2013) Computer-assisted self-training system for sports exercise using kinects. In: 2013 IEEE international conference on multimedia and expo workshops (ICMEW), IEEE, pp 1\u20134. https:\/\/doi.org\/10.1109\/ICMEW.2013.6618307","DOI":"10.1109\/ICMEW.2013.6618307"},{"key":"18694_CR8","doi-asserted-by":"publisher","unstructured":"Chen HT, He YZ, Hsu CC, et\u00a0al (2014) Yoga posture recognition for self-training. In: international conference on multimedia modeling, Springer, pp 496\u2013505. https:\/\/doi.org\/10.1007\/978-3-319-04114-8_42","DOI":"10.1007\/978-3-319-04114-8_42"},{"issue":"18","key":"18694_CR9","doi-asserted-by":"publisher","first-page":"23969","DOI":"10.1007\/s11042-018-5721-2","volume":"77","author":"HT Chen","year":"2018","unstructured":"Chen HT, He YZ, Hsu CC (2018) Computer-assisted yoga training system. Multimed Tools Appl 77(18):23969\u201323991. https:\/\/doi.org\/10.1007\/s11042-018-5721-2","journal-title":"Multimed Tools Appl"},{"key":"18694_CR10","doi-asserted-by":"publisher","unstructured":"Connaghan D, Kelly P, O\u2019Connor NE, et\u00a0al (2011) Multi-sensor classification of tennis strokes. In: SENSORS, 2011 IEEE, IEEE, pp 1437\u20131440. https:\/\/doi.org\/10.1109\/ICSENS.2011.6127084","DOI":"10.1109\/ICSENS.2011.6127084"},{"key":"18694_CR11","doi-asserted-by":"publisher","unstructured":"Dantone M, Gall J, Leistner C, et\u00a0al (2013) Human pose estimation using body parts dependent joint regressors. In: proceedings of the IEEE conference on computer vision and pattern recognition, pp 3041\u20133048. https:\/\/doi.org\/10.1109\/CVPR.2013.391","DOI":"10.1109\/CVPR.2013.391"},{"key":"18694_CR12","doi-asserted-by":"crossref","unstructured":"De\u00a0Michelis E (2005) A history of modern yoga: patanjali and western esotericism. A &C Black","DOI":"10.1525\/nr.2006.9.3.141"},{"key":"18694_CR13","doi-asserted-by":"publisher","first-page":"e1152","DOI":"10.7717\/peerj-cs.1152","volume":"9","author":"M Desai","year":"2023","unstructured":"Desai M, Mewada H (2023) A novel approach for yoga pose estimation based on in-depth analysis of human body joint detection accuracy. PeerJ Comput Sci 9:e1152","journal-title":"PeerJ Comput Sci"},{"key":"18694_CR14","unstructured":"Ditty M, Karandikar A, Reed D (2018) Nvidia\u2019s xavier soc. In: hot chips: a symposium on high performance chips"},{"key":"18694_CR15","doi-asserted-by":"publisher","unstructured":"Fang HS, Xie S, Tai YW, et\u00a0al (2017) Rmpe: regional multi-person pose estimation. In: proceedings of the IEEE international conference on computer vision, pp 2334\u20132343. https:\/\/doi.org\/10.1109\/ICCV.2017.256","DOI":"10.1109\/ICCV.2017.256"},{"key":"18694_CR16","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.ctim.2016.03.011","volume":"26","author":"L Gaiswinkler","year":"2016","unstructured":"Gaiswinkler L, Unterrainer H (2016) The relationship between yoga involvement, mindfulness and psychological well-being. Complement Ther Med 26:123\u2013127","journal-title":"Complement Ther Med"},{"key":"18694_CR17","first-page":"2622","volume":"14","author":"D Gan","year":"2017","unstructured":"Gan D, Wang Y, Zhang N et al (2017) (2017) Enhancing short-term probabilistic residential load forecasting with quantile long-short-term memory. J Eng 14:2622\u20132627","journal-title":"J Eng"},{"issue":"7","key":"18694_CR18","doi-asserted-by":"publisher","first-page":"2047","DOI":"10.1007\/s00521-015-2002-0","volume":"27","author":"Z Gao","year":"2016","unstructured":"Gao Z, Zhang H, Liu AA et al (2016) Human action recognition on depth dataset. Neural Comput Appl 27(7):2047\u20132054. https:\/\/doi.org\/10.1007\/s00521-015-2002-0","journal-title":"Neural Comput Appl"},{"key":"18694_CR19","doi-asserted-by":"crossref","unstructured":"Garg S, Saxena A, Gupta R (2022) Yoga pose classification: a cnn and mediapipe inspired deep learning approach for real-world application. Journal of ambient intelligence and humanized computing pp 1\u201312","DOI":"10.1007\/s12652-022-03910-0"},{"key":"18694_CR20","doi-asserted-by":"crossref","unstructured":"Graves A, Mohamed Ar, Hinton G (2013) Speech recognition with deep recurrent neural networks. In: 2013 IEEE international conference on acoustics, speech and signal processing, IEEE, pp 6645\u20136649","DOI":"10.1109\/ICASSP.2013.6638947"},{"issue":"10","key":"18694_CR21","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1109\/TNNLS.2016.2582924","volume":"28","author":"K Greff","year":"2016","unstructured":"Greff K, Srivastava RK, Koutn\u00edk J et al (2016) Lstm: A search space odyssey. IEEE Trans Neural Netw Learn Syst 28(10):2222\u20132232. https:\/\/doi.org\/10.1109\/TNNLS.2016.2582924","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"3","key":"18694_CR22","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1097\/hcr.0000000000000372","volume":"39","author":"RR Guddeti","year":"2019","unstructured":"Guddeti RR, Dang G, Williams MA et al (2019) Role of yoga in cardiac disease and rehabilitation. J Cardiopulm Rehabil Prev 39(3):146\u2013152. https:\/\/doi.org\/10.1097\/hcr.0000000000000372","journal-title":"J Cardiopulm Rehabil Prev"},{"issue":"4","key":"18694_CR23","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1109\/TAI.2021.3096175","volume":"2","author":"A Gupta","year":"2021","unstructured":"Gupta A, Gupta HP (2021) Yogahelp: Leveraging motion sensors for learning correct execution of yoga with feedback. IEEE Trans Artif Intell 2(4):362\u2013371","journal-title":"IEEE Trans Artif Intell"},{"issue":"11","key":"18694_CR24","doi-asserted-by":"publisher","first-page":"2382","DOI":"10.4304\/jcp.6.11.2382-2388","volume":"6","author":"CC Hsieh","year":"2011","unstructured":"Hsieh CC, Wu BS, Lee CC (2011) A distance computer vision assisted yoga learning system. J Comput 6(11):2382\u20132388. https:\/\/doi.org\/10.4304\/jcp.6.11.2382-2388","journal-title":"J Comput"},{"key":"18694_CR25","doi-asserted-by":"crossref","unstructured":"Huang Z, Liu Y, Fang Y, et\u00a0al (2018) Video-based fall detection for seniors with human pose estimation. In: 2018 4th international conference on universal village (UV), IEEE, pp 1\u20134","DOI":"10.1109\/UV.2018.8642130"},{"key":"18694_CR26","doi-asserted-by":"publisher","first-page":"6427","DOI":"10.1007\/s00521-020-05405-5","volume":"33","author":"S Jain","year":"2021","unstructured":"Jain S, Rustagi A, Saurav S et al (2021) Three-dimensional cnn-inspired deep learning architecture for yoga pose recognition in the real-world environment. Neural Comput Appl 33:6427\u20136441","journal-title":"Neural Comput Appl"},{"key":"18694_CR27","doi-asserted-by":"publisher","unstructured":"Joo H, Liu H, Tan L, et\u00a0al (2015) Panoptic studio: A massively multiview system for social motion capture. In: proceedings of the IEEE international conference on computer vision, pp 3334\u20133342. https:\/\/doi.org\/10.1109\/ICCV.2015.381","DOI":"10.1109\/ICCV.2015.381"},{"key":"18694_CR28","doi-asserted-by":"publisher","unstructured":"Kelly P, Healy A, Moran K, et\u00a0al (2010) A virtual coaching environment for improving golf swing technique. In: proceedings of the 2010 ACM workshop on surreal media and virtual cloning, pp 51\u201356. https:\/\/doi.org\/10.1145\/1878083.1878098","DOI":"10.1145\/1878083.1878098"},{"issue":"15","key":"18694_CR29","doi-asserted-by":"publisher","first-page":"8912","DOI":"10.3390\/app13158912","volume":"13","author":"J Li","year":"2023","unstructured":"Li J, Zhang D, Shi L et al (2023) An improved high-resolution network-based method for yoga-pose estimation. Appl Sci 13(15):8912","journal-title":"Appl Sci"},{"issue":"6","key":"18694_CR30","doi-asserted-by":"publisher","first-page":"2315","DOI":"10.1109\/TCSVT.2020.3023080","volume":"31","author":"Y Li","year":"2020","unstructured":"Li Y, Li S, Chen C et al (2020) A plug-and-play scheme to adapt image saliency deep model for video data. IEEE Trans Circuits Syst Video Technol 31(6):2315\u20132327","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"9","key":"18694_CR31","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1089\/acm.2014.0044","volume":"21","author":"SA Lim","year":"2015","unstructured":"Lim SA, Cheong KJ (2015) Regular yoga practice improves antioxidant status, immune function, and stress hormone releases in young healthy people: a randomized, double-blind, controlled pilot study. J Altern Complement Med 21(9):530\u2013538. https:\/\/doi.org\/10.1089\/acm.2014.0044","journal-title":"J Altern Complement Med"},{"key":"18694_CR32","doi-asserted-by":"publisher","unstructured":"Liu Y, Stoll C, Gall J, et\u00a0al (2011) Markerless motion capture of interacting characters using multi-view image segmentation. In: CVPR 2011, IEEE, pp 1249\u20131256. https:\/\/doi.org\/10.1109\/CVPR.2011.5995424","DOI":"10.1109\/CVPR.2011.5995424"},{"issue":"1","key":"18694_CR33","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/JBHI.2018.2808281","volume":"23","author":"N Lu","year":"2018","unstructured":"Lu N, Wu Y, Feng L et al (2018) Deep learning for fall detection: Three-dimensional cnn combined with lstm on video kinematic data. IEEE J Biomed Health Inform 23(1):314\u2013323. https:\/\/doi.org\/10.1109\/JBHI.2018.2808281","journal-title":"IEEE J Biomed Health Inform"},{"key":"18694_CR34","doi-asserted-by":"publisher","unstructured":"Luo Z, Yang W, Ding ZQ, et\u00a0al (2011) \"left arm up!\" interactive yoga training in virtual environment. In: 2011 IEEE virtual reality conference, IEEE, pp 261\u2013262. https:\/\/doi.org\/10.1109\/VR.2011.5759498","DOI":"10.1109\/VR.2011.5759498"},{"issue":"12","key":"18694_CR35","doi-asserted-by":"publisher","first-page":"9157","DOI":"10.1007\/s00521-019-04036-9","volume":"31","author":"R Maanijou","year":"2019","unstructured":"Maanijou R, Mirroshandel SA (2019) Introducing an expert system for prediction of soccer player ranking using ensemble learning. Neural Comput Appl 31(12):9157\u20139174. https:\/\/doi.org\/10.1007\/s00521-019-04036-9","journal-title":"Neural Comput Appl"},{"key":"18694_CR36","doi-asserted-by":"publisher","unstructured":"Martinez J, Hossain R, Romero J, et\u00a0al (2017) A simple yet effective baseline for 3d human pose estimation. In: proceedings of the IEEE international conference on computer vision, pp 2640\u20132649. https:\/\/doi.org\/10.1109\/ICCV.2017.288","DOI":"10.1109\/ICCV.2017.288"},{"key":"18694_CR37","doi-asserted-by":"publisher","unstructured":"Mohanty A, Ahmed A, Goswami T, et\u00a0al (2017) Robust pose recognition using deep learning. In: proceedings of international conference on computer vision and image processing, Springer, pp 93\u2013105. https:\/\/doi.org\/10.1007\/978-981-10-2107-7_9","DOI":"10.1007\/978-981-10-2107-7_9"},{"key":"18694_CR38","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.proeng.2014.06.024","volume":"72","author":"NB Nordsborg","year":"2014","unstructured":"Nordsborg NB, Espinosa HG, Thiel DV (2014) Estimating energy expenditure during front crawl swimming using accelerometers. Procedia Eng 72:132\u2013137. https:\/\/doi.org\/10.1016\/j.proeng.2014.06.024","journal-title":"Procedia Eng"},{"issue":"3","key":"18694_CR39","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1097\/HNP.0b013e31824ef647","volume":"26","author":"NR Okonta","year":"2012","unstructured":"Okonta NR (2012) Does yoga therapy reduce blood pressure in patients with hypertension?: an integrative review. Holist Nurs Pract 26(3):137\u2013141","journal-title":"Holist Nurs Pract"},{"key":"18694_CR40","doi-asserted-by":"crossref","unstructured":"Palanimeera J, Ponmozhi K (2023) Yoga posture recognition by learning spatial-temporal feature with deep learning techniques. International journal of image and graphics p 2450055","DOI":"10.1142\/S0219467824500554"},{"key":"18694_CR41","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.psyneuen.2017.08.008","volume":"86","author":"MC Pascoe","year":"2017","unstructured":"Pascoe MC, Thompson DR, Ski CF (2017) Yoga, mindfulness-based stress reduction and stress-related physiological measures: A meta-analysis. Psychoneuroendocrinology 86:152\u2013168","journal-title":"Psychoneuroendocrinology"},{"key":"18694_CR42","doi-asserted-by":"crossref","unstructured":"Patil S, Pawar A, Peshave A, et\u00a0al (2011) Yoga tutor visualization and analysis using surf algorithm. In: 2011 IEEE Control and System Graduate Research Colloquium, IEEE, pp 43\u201346, 10.1109\/ICSGRC.2011.5991827","DOI":"10.1109\/ICSGRC.2011.5991827"},{"key":"18694_CR43","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0173869","author":"S Prathikanti","year":"2017","unstructured":"Prathikanti S, Rivera R, Cochran A et al (2017) Treating major depression with yoga: A prospective, randomized, controlled pilot trial. PLoS ONE. https:\/\/doi.org\/10.1371\/journal.pone.0173869","journal-title":"PLoS ONE"},{"issue":"11","key":"18694_CR44","doi-asserted-by":"publisher","first-page":"7227","DOI":"10.1007\/s00521-018-3559-1","volume":"31","author":"K Przednowek","year":"2019","unstructured":"Przednowek K, Wiktorowicz K, Krzeszowski T et al (2019) A web-oriented expert system for planning hurdles race training programmes. Neural Comput Appl 31(11):7227\u20137243. https:\/\/doi.org\/10.1007\/s00521-018-3559-1","journal-title":"Neural Comput Appl"},{"issue":"3","key":"18694_CR45","doi-asserted-by":"publisher","first-page":"718","DOI":"10.3390\/s19030718","volume":"19","author":"B Qiang","year":"2019","unstructured":"Qiang B, Zhang S, Zhan Y et al (2019) Improved convolutional pose machines for human pose estimation using image sensor data. Sensors 19(3):718. https:\/\/doi.org\/10.3390\/s19030718","journal-title":"Sensors"},{"key":"18694_CR46","doi-asserted-by":"publisher","unstructured":"Rector K, Bennett CL, Kientz JA (2013) Eyes-free yoga: an exergame using depth cameras for blind & low vision exercise. In: proceedings of the 15th international ACM SIGACCESS conference on computers and accessibility, pp 1\u20138. https:\/\/doi.org\/10.1145\/2513383.2513392","DOI":"10.1145\/2513383.2513392"},{"issue":"3","key":"18694_CR47","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky O, Deng J, Su H et al (2015) Imagenet large scale visual recognition challenge. Int J Comput Vision 115(3):211\u2013252. https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int J Comput Vision"},{"key":"18694_CR48","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.jpsychires.2014.02.022","volume":"53","author":"N Sarubin","year":"2014","unstructured":"Sarubin N, Nothdurfter C, Sch\u00fcle C et al (2014) The influence of hatha yoga as an add-on treatment in major depression on hypothalamic-pituitary-adrenal-axis activity: A randomized trial. J Psychiatr Res 53:76\u201383","journal-title":"J Psychiatr Res"},{"issue":"1","key":"18694_CR49","doi-asserted-by":"publisher","first-page":"3","DOI":"10.4103\/2Fijoy.IJOY_65_17","volume":"12","author":"G Sathyanarayanan","year":"2019","unstructured":"Sathyanarayanan G, Vengadavaradan A, Bharadwaj B (2019) Role of yoga and mindfulness in severe mental illnesses: A narrative review. International journal of yoga 12(1):3. https:\/\/doi.org\/10.4103\/2Fijoy.IJOY_65_17","journal-title":"International journal of yoga"},{"key":"18694_CR50","doi-asserted-by":"crossref","unstructured":"Saurav S, Saini R, Singh S (2021) A dual-stream fused neural network for fall detection in multi-camera and $$360^{\\circ }$$ videos. Neural computing and applications pp 1\u201328","DOI":"10.1007\/s00521-021-06495-5"},{"issue":"1","key":"18694_CR51","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1002\/j.1556-6678.2008.tb00625.x","volume":"86","author":"MB Schure","year":"2008","unstructured":"Schure MB, Christopher J, Christopher S (2008) Mind-body medicine and the art of self-care: teaching mindfulness to counseling students through yoga, meditation, and qigong. J Couns & Dev 86(1):47\u201356. https:\/\/doi.org\/10.1002\/j.1556-6678.2008.tb00625.x","journal-title":"J Couns & Dev"},{"key":"18694_CR52","doi-asserted-by":"publisher","unstructured":"Sethi JK, Nagendra H, Ganpat TS (2013) Yoga improves attention and self-esteem in underprivileged girl student. J Educ health Promot 2. https:\/\/doi.org\/10.4103\/2277-9531.119043","DOI":"10.4103\/2277-9531.119043"},{"key":"18694_CR53","doi-asserted-by":"publisher","unstructured":"Shan CZ, Ming ESL, Rahman HA, et\u00a0al (2015) Investigation of upper limb movement during badminton smash. In: 2015 10th asian control conference (ASCC), IEEE, pp 1\u20136. https:\/\/doi.org\/10.1109\/ASCC.2015.7244605","DOI":"10.1109\/ASCC.2015.7244605"},{"key":"18694_CR54","doi-asserted-by":"crossref","unstructured":"Sharma A, Agrawal Y, Shah Y, et\u00a0al (2022) Iyogacare: real-time yoga recognition and self-correction for smart healthcare. IEEE Consumer electronics magazine","DOI":"10.1109\/MCE.2022.3171054"},{"key":"18694_CR55","doi-asserted-by":"publisher","unstructured":"Shotton J, Fitzgibbon A, Cook M, et\u00a0al (2011) Real-time human pose recognition in parts from single depth images. In: CVPR 2011, Ieee, pp 1297\u20131304. https:\/\/doi.org\/10.1109\/CVPR.2011.5995316","DOI":"10.1109\/CVPR.2011.5995316"},{"key":"18694_CR56","unstructured":"Soomro K, Zamir AR, Shah M (2012) Ucf101: A dataset of 101 human actions classes from videos in the wild. arXiv:1212.0402 doi.org\/10.48550"},{"issue":"11","key":"18694_CR57","first-page":"403","volume":"15","author":"D Swain","year":"2022","unstructured":"Swain D, Satapathy S, Acharya B et al (2022) Deep learning models for yoga pose monitoring. Algoritm 15(11):403","journal-title":"Algoritm"},{"key":"18694_CR58","doi-asserted-by":"publisher","unstructured":"Tian Y, Zitnick CL, Narasimhan SG (2012) Exploring the spatial hierarchy of mixture models for human pose estimation. In: european conference on computer vision, Springer, pp 256\u2013269 https:\/\/doi.org\/10.1007\/978-3-642-33715-4_19","DOI":"10.1007\/978-3-642-33715-4_19"},{"key":"18694_CR59","doi-asserted-by":"publisher","unstructured":"Tompson JJ, Jain A, LeCun Y, et\u00a0al (2014) Joint training of a convolutional network and a graphical model for human pose estimation. In: advances in neural information processing systems, pp 1799\u20131807. https:\/\/doi.org\/10.5555\/2968826.2969027","DOI":"10.5555\/2968826.2969027"},{"key":"18694_CR60","doi-asserted-by":"publisher","unstructured":"Toshev A, Szegedy C (2014) Deeppose: Human pose estimation via deep neural networks. In: proceedings of the IEEE conference on computer vision and pattern recognition, pp 1653\u20131660. https:\/\/doi.org\/10.1109\/CVPR.2014.214","DOI":"10.1109\/CVPR.2014.214"},{"key":"18694_CR61","doi-asserted-by":"publisher","unstructured":"Tran D, Bourdev L, Fergus R, et\u00a0al (2015) Learning spatiotemporal features with 3d convolutional networks. In: proceedings of the IEEE international conference on computer vision, pp 4489\u20134497. https:\/\/doi.org\/10.1109\/ICCV.2015.510","DOI":"10.1109\/ICCV.2015.510"},{"key":"18694_CR62","doi-asserted-by":"publisher","unstructured":"Trejo EW, Yuan P (2018) Recognition of yoga poses through an interactive system with kinect device. In: 2018 2nd international conference on robotics and automation sciences (ICRAS), IEEE, pp 1\u20135. https:\/\/doi.org\/10.1109\/ICRAS.2018.8443267","DOI":"10.1109\/ICRAS.2018.8443267"},{"key":"18694_CR63","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1109\/ACCESS.2017.2778011","volume":"6","author":"A Ullah","year":"2017","unstructured":"Ullah A, Ahmad J, Muhammad K et al (2017) Action recognition in video sequences using deep bi-directional lstm with cnn features. IEEE Access 6:1155\u20131166. https:\/\/doi.org\/10.1109\/ACCESS.2017.2778011","journal-title":"IEEE Access"},{"key":"18694_CR64","doi-asserted-by":"crossref","unstructured":"Upadhyay A, Basha NK, Ananthakrishnan B (2023) Deep learning-based yoga posture recognition using the y_pn-mssd model for yoga practitioners. In: healthcare, MDPI, p 609","DOI":"10.3390\/healthcare11040609"},{"key":"18694_CR65","doi-asserted-by":"crossref","unstructured":"Vallabhaneni N, Prabhavathy P (2023) Segmentation quality assessment network-based object detection and optimized cnn with transfer learning for yoga pose classification for health care. Soft Computing pp 1\u201323","DOI":"10.1007\/s00500-023-08863-w"},{"key":"18694_CR66","doi-asserted-by":"crossref","unstructured":"Verma M, Kumawat S, Nakashima Y, et\u00a0al (2020) Yoga-82: a new dataset for fine-grained classification of human poses. In: proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops, pp 1038\u20131039","DOI":"10.1109\/CVPRW50498.2020.00527"},{"issue":"11","key":"18694_CR67","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1080\/02640414.2011.587445","volume":"29","author":"M Waldron","year":"2011","unstructured":"Waldron M, Twist C, Highton J et al (2011) Movement and physiological match demands of elite rugby league using portable global positioning systems. J Sports Sci 29(11):1223\u20131230. https:\/\/doi.org\/10.1080\/02640414.2011.587445","journal-title":"J Sports Sci"},{"key":"18694_CR68","doi-asserted-by":"publisher","unstructured":"Wang C, Wang Y, Lin Z, et\u00a0al (2014) Robust estimation of 3d human poses from a single image. In: proceedings of the IEEE conference on computer vision and pattern recognition, pp 2361\u20132368. https:\/\/doi.org\/10.1109\/CVPR.2014.303","DOI":"10.1109\/CVPR.2014.303"},{"key":"18694_CR69","doi-asserted-by":"publisher","unstructured":"Wang J, Yu LC, Lai KR, et al (2016) Dimensional sentiment analysis using a regional cnn-lstm model. In: proceedings of the 54th annual meeting of the association for computational linguistics (Volume 2: short papers), pp 225\u2013230. https:\/\/doi.org\/10.18653\/v1\/P162037","DOI":"10.18653\/v1\/P162037"},{"key":"18694_CR70","doi-asserted-by":"publisher","first-page":"17913","DOI":"10.1109\/ACCESS.2018.2817253","volume":"6","author":"L Wang","year":"2018","unstructured":"Wang L, Xu Y, Cheng J et al (2018) Human action recognition by learning spatio-temporal features with deep neural networks. IEEE access 6:17913\u201317922. https:\/\/doi.org\/10.1109\/ACCESS.2018.2817253","journal-title":"IEEE access"},{"issue":"10","key":"18694_CR71","doi-asserted-by":"publisher","first-page":"4741","DOI":"10.3390\/s23104741","volume":"23","author":"G Wei","year":"2023","unstructured":"Wei G, Zhou H, Zhang L et al (2023) Spatial-temporal self-attention enhanced graph convolutional networks for fitness yoga action recognition. Sensors 23(10):4741","journal-title":"Sensors"},{"key":"18694_CR72","doi-asserted-by":"publisher","unstructured":"Wu W, Yin W, Guo F (2010) Learning and self-instruction expert system for yoga. In: 2010 2nd international workshop on intelligent systems and applications, IEEE, pp 1\u20134. https:\/\/doi.org\/10.1109\/IWISA.2010.5473592","DOI":"10.1109\/IWISA.2010.5473592"},{"key":"18694_CR73","doi-asserted-by":"crossref","unstructured":"Wu Y, Lin Q, Yang M, et\u00a0al (2021) A computer vision-based yoga pose grading approach using contrastive skeleton feature representations. In: healthcare, MDPI, p 36","DOI":"10.3390\/healthcare10010036"},{"issue":"23","key":"18694_CR74","doi-asserted-by":"publisher","first-page":"5129","DOI":"10.3390\/s19235129","volume":"19","author":"Z Wu","year":"2019","unstructured":"Wu Z, Zhang J, Chen K et al (2019) Yoga posture recognition and quantitative evaluation with wearable sensors based on two-stage classifier and prior bayesian network. Sensors 19(23):5129. https:\/\/doi.org\/10.3390\/s19235129","journal-title":"Sensors"},{"key":"18694_CR75","doi-asserted-by":"publisher","unstructured":"Xie S, Girshick R, Doll\u00e1r P, et\u00a0al (2017) Aggregated residual transformations for deep neural networks. In: proceedings of the IEEE conference on computer vision and pattern recognition, pp 1492\u20131500. https:\/\/doi.org\/10.1109\/CVPR.2017.634","DOI":"10.1109\/CVPR.2017.634"},{"issue":"12","key":"18694_CR76","doi-asserted-by":"publisher","first-page":"9349","DOI":"10.1007\/s00521-019-04232-7","volume":"31","author":"SK Yadav","year":"2019","unstructured":"Yadav SK, Singh A, Gupta A et al (2019) Real-time yoga recognition using deep learning. Neural Comput Appl 31(12):9349\u20139361. https:\/\/doi.org\/10.1007\/s00521-019-04232-7","journal-title":"Neural Comput Appl"},{"key":"18694_CR77","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109097","volume":"250","author":"SK Yadav","year":"2022","unstructured":"Yadav SK, Agarwal A, Kumar A et al (2022) Yognet: A two-stream network for realtime multiperson yoga action recognition and posture correction. Knowl-Based Syst 250:109097","journal-title":"Knowl-Based Syst"},{"key":"18694_CR78","doi-asserted-by":"publisher","unstructured":"Yahya U, Senanayake SA, Naim A (2018) A database-driven neural computing framework for classification of vertical jump patterns of healthy female netballers using 3d kinematics\u2013emg features. Neural Computing and Applications, pp 1\u201320. https:\/\/doi.org\/10.1007\/s00521-018-3653-4","DOI":"10.1007\/s00521-018-3653-4"},{"key":"18694_CR79","doi-asserted-by":"crossref","unstructured":"Zhang L, Zhu G, Shen P, et\u00a0al (2017) Learning spatiotemporal features using 3dcnn and convolutional lstm for gesture recognition. In: proceedings of the IEEE international conference on computer vision workshops, pp 3120\u20133128","DOI":"10.1109\/ICCVW.2017.369"},{"key":"18694_CR80","unstructured":"Zhang L, Zhu G, Mei L, et\u00a0al (2018) Attention in convolutional lstm for gesture recognition. In: proceedings of the 32nd international conference on neural information processing systems, pp 1957\u20131966"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-18694-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-18694-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-18694-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T12:11:54Z","timestamp":1728475914000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-18694-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,8]]},"references-count":80,"journal-issue":{"issue":"34","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["18694"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-18694-y","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,8]]},"assertion":[{"value":"1 July 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 September 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}