{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T14:40:40Z","timestamp":1780411240570,"version":"3.54.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"38","license":[{"start":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T00:00:00Z","timestamp":1728691200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T00:00:00Z","timestamp":1728691200000},"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\/s11042-024-20310-y","type":"journal-article","created":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T04:03:38Z","timestamp":1728705818000},"page":"86299-86321","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Automated yoga pose recognition using enhanced chicken swarm optimization with deep learning"],"prefix":"10.1007","volume":"83","author":[{"given":"K.","family":"Aarthy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. Alice","family":"Nithya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,12]]},"reference":[{"issue":"2","key":"20310_CR1","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, Uddin J (2023) Yonet: A neural network for yoga pose classification. SN Comput Sci 4(2):198","journal-title":"SN Comput Sci"},{"key":"20310_CR2","unstructured":"Ghongane A (2022) Hierarchical Classification of Yoga Poses using Deep Learning Techniques (Doctoral dissertation, Dublin, National College of Ireland)"},{"key":"20310_CR3","doi-asserted-by":"crossref","unstructured":"Kundu K, Goswami A (2023) March. Classification of Yoga Poses Using Integration of Deep Learning and Machine Learning Techniques. In Proceedings of International Conference on Recent Trends in Computing: ICRTC 2022 (pp. 417\u2013428). Singapore: Springer Nature Singapore","DOI":"10.1007\/978-981-19-8825-7_36"},{"key":"20310_CR4","doi-asserted-by":"crossref","unstructured":"Jose J, Shailesh S (2021) Yoga asana identification: a deep learning approach. In: IOP Conference Series(ed) Materials science and engineering, vol 1110, no. 1, p. 012002. IOP Publishing","DOI":"10.1088\/1757-899X\/1110\/1\/012002"},{"key":"20310_CR5","doi-asserted-by":"crossref","unstructured":"Kinger S, Desai A, Patil S, Sinalkar H, Deore N (2022) May. Deep Learning Based Yoga Pose Classification. In 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) (Vol. 1, pp. 682\u2013691). IEEE","DOI":"10.1109\/COM-IT-CON54601.2022.9850693"},{"key":"20310_CR6","volume-title":"Integrating Bio Mechanics And Deep Learning For Yoga","author":"J Palanimeera","year":"2023","unstructured":"Palanimeera J (2023) Integrating Bio mechanics and deep learning for yoga. Pose Classification Leveraging Joint Angle Estimation"},{"issue":"4","key":"20310_CR7","first-page":"1290","volume":"9","author":"V Bhosale","year":"2022","unstructured":"Bhosale V, Nandeshwar P, Bale A, Sankhe J (2022) Yoga pose detection and correction using posenet and KNN. Int Res J Eng Technol 9(4):1290\u20131293","journal-title":"Int Res J Eng Technol"},{"key":"20310_CR8","doi-asserted-by":"crossref","unstructured":"JV NL, Bagaria CK (2021) Yoga Pose Classification using Resnet of Deep Learning Models. i-Manager\u2019s Journal on Computer Science, 9(2), p.29","DOI":"10.26634\/jcom.9.2.18464"},{"key":"20310_CR9","doi-asserted-by":"crossref","unstructured":"Pala VCR, Kamatagi S, Jangiti S, Swaraja K, Madhavi KR, Kumar GN (2023) March. Yoga Pose Recognition with Real time Correction using Deep Learning. In 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 387\u2013393). IEEE","DOI":"10.1109\/ICSCDS56580.2023.10104781"},{"key":"20310_CR10","doi-asserted-by":"crossref","unstructured":"Janbi NF, Almuaythir N (2023) January. BowlingDL: A Deep Learning-Based Bowling Players Pose Estimation and Classification. In 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1\u20136). IEEE","DOI":"10.1109\/ICAISC56366.2023.10085434"},{"key":"20310_CR11","doi-asserted-by":"crossref","unstructured":"Kumar R, Velmurugan R, Muruganantham A (2022) December. Yoga Asanas Pose Detection using Feature Level Fusion with Deep Learning-Based Model. In 2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO) (pp. 331\u2013339). IEEE","DOI":"10.1109\/ICCMSO58359.2022.00071"},{"key":"20310_CR12","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, Saini R, Singh S (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":"20310_CR13","first-page":"609","volume-title":"Healthcare","author":"A Upadhyay","year":"2023","unstructured":"Upadhyay A, Basha NK, Ananthakrishnan B (2023) February. Deep learning-based yoga posture recognition using the Y_PN-MSSD model for yoga practitioners. Healthcare, vol 11. MDPI, p 609. 4"},{"key":"20310_CR14","first-page":"1","volume-title":"Yoga pose classification: a CNN and MediaPipe inspired deep learning approach for real-world application","author":"S Garg","year":"2022","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"},{"key":"20310_CR15","doi-asserted-by":"crossref","unstructured":"Palanimeera J, Ponmozhi K (2023) YAP_LSTM: yoga asana prediction using pose estimation and long short-term memory. Soft Comput, pp.1\u201316","DOI":"10.1007\/s00500-023-09044-5"},{"key":"20310_CR16","doi-asserted-by":"crossref","unstructured":"Bhaumik U, Singh KK, Akbari AS, Bajpai MK (2022) A Deep Learning-Based Approach to Detect Correct Suryanamaskara Pose. SN Computer Science, 3(5), p.337","DOI":"10.1007\/s42979-022-01226-6"},{"key":"20310_CR17","doi-asserted-by":"crossref","unstructured":"Jadhav R, Ligde V, Malpani R, Mane P, Borkar S (2023) Aasna: Kinematic Yoga Posture Detection And Correction System Using CNN. In ITM Web of Conferences (Vol. 56, p. 05007). EDP Sciences","DOI":"10.1051\/itmconf\/20235605007"},{"key":"20310_CR18","doi-asserted-by":"crossref","unstructured":"Rishan F, De Silva B, Alawathugoda S, Nijabdeen S, Rupasinghe L, Liyanapathirana C (2020) December. Infinity yoga tutor: Yoga posture detection and correction system. In 2020 5th International conference on information technology research (ICITR) (pp. 1\u20136). IEEE","DOI":"10.1109\/ICITR51448.2020.9310832"},{"key":"20310_CR19","doi-asserted-by":"crossref","unstructured":"Nuha HH, Absa AA (2022) July. Noise Reduction and Speech Enhancement Using Wiener Filter. In 2022 International Conference on Data Science and Its Applications (ICoDSA) (pp. 177\u2013180). IEEE","DOI":"10.1109\/ICoDSA55874.2022.9862912"},{"key":"20310_CR20","doi-asserted-by":"crossref","unstructured":"Yang T, Zhou S, Xu A, Ye J, Yin J (2023) An Approach for Plant Leaf Image Segmentation Based on YOLOV8 and the Improved DEEPLABV3+. Plants, 12(19), p.3438","DOI":"10.3390\/plants12193438"},{"key":"20310_CR21","doi-asserted-by":"crossref","unstructured":"Nguyen PK, Nguyen AT, Doan TB, Trung PN, Thi ND (2022) December. Assessing Bicep Curl Exercises by Human Pose Application: A Preliminary Study. In International Conference on Soft Computing and Pattern Recognition (pp. 581\u2013589). Cham: Springer Nature Switzerland","DOI":"10.1007\/978-3-031-27524-1_55"},{"key":"20310_CR22","doi-asserted-by":"crossref","unstructured":"Choi W, Kim MJ, Yum MS, Jeong DH (2022) Deep convolutional gated recurrent unit combined with attention mechanism to classify pre-ictal from interictal EEG with minimized number of channels. Journal of Personalized Medicine, 12(5), p.763","DOI":"10.3390\/jpm12050763"},{"key":"20310_CR23","doi-asserted-by":"crossref","unstructured":"Wu Y, Liu J, Wang L, An Y, Zhang X (2023) Distribution Network Reconfiguration Using Chaotic Particle Swarm Chicken Swarm Fusion Optimization Algorithm. Energies, 16(20), p.7185","DOI":"10.3390\/en16207185"},{"key":"20310_CR24","first-page":"1","volume-title":"A comparative recognition research on excretory organism in medical applications using neural networks","author":"M Vidhyalakshmi","year":"2023","unstructured":"Vidhyalakshmi M, Ramesh S, Kshirsagar MLB, Rajaram PR, A. and, Tirth V (2023) A comparative recognition research on excretory organism in medical applications using neural networks. Multimedia Tools and Applications, pp 1\u201318"},{"key":"20310_CR25","first-page":"1","volume-title":"Enhancing Electrical Power Demand Prediction Using LSTM-Based Deep Learning Models for Local Energy Communities","author":"M Pushpavalli","year":"2024","unstructured":"Pushpavalli M, Dhanya D, Kulkarni M, Rajitha Jasmine R, Umarani B, RamprasadReddy M, Garapati DP, Yadav AS, Rajaram A (2024) Enhancing Electrical Power demand prediction using LSTM-Based Deep Learning models for Local Energy communities. Electric Power Components and Systems, pp 1\u201318"},{"issue":"2","key":"20310_CR26","first-page":"3395","volume":"46","author":"G Sucharitha","year":"2024","unstructured":"Sucharitha G, Sankardass V, Rani R, Bhat N, Rajaram A (2024) Deep learning aided prostate cancer detection for early diagnosis & treatment using MR with TRUS images. J Intell Fuzzy Syst 46(2):3395\u20133409","journal-title":"J Intell Fuzzy Syst"},{"issue":"4","key":"20310_CR27","first-page":"7161","volume":"45","author":"D Shekar Goud","year":"2023","unstructured":"Shekar Goud D, Beenarani BB, Brijilal Ruban C, Fathima R, Bharathi ML, Rajaram A, Kshirsagar PR, Tirth V (2023) Deep learning technique for patients healthcare monitoring using IoT body based body sensors and edge servers. J Intell Fuzzy Syst 45(4):7161\u20137175","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"20310_CR28","first-page":"127","volume":"14","author":"VS Chandrika","year":"2024","unstructured":"Chandrika VS, Kumar NMG, Kamesh VV, Shobanadevi A, Maheswari V, Sekar K, Logeswaran T, Rajaram A (2024) Advanced LSTM-Based Time Series forecasting for enhanced Energy Consumption Management in Electric Power Systems. Int J Renew Energy Res (IJRER) 14(1):127\u2013139","journal-title":"Int J Renew Energy Res (IJRER)"},{"key":"20310_CR29","doi-asserted-by":"crossref","unstructured":"Xiao Z, Xing H, Qu R, Feng L, Luo S, Dai P, Zhao B, Dai Y (2024) Densely knowledge-aware network for multivariate time series classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems","DOI":"10.1109\/TSMC.2023.3342640"},{"key":"20310_CR30","volume-title":"CapMatch: Semi-supervised contrastive transformer capsule with feature-based knowledge distillation for human activity recognition","author":"Z Xiao","year":"2023","unstructured":"Xiao Z, Tong H, Qu R, Xing H, Luo S, Zhu Z, Song F, Feng L (2023) CapMatch: semi-supervised contrastive transformer capsule with feature-based knowledge distillation for human activity recognition. IEEE Transactions on Neural Networks and Learning Systems"},{"key":"20310_CR31","volume-title":"DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification","author":"Z Xiao","year":"2024","unstructured":"Xiao Z, Xu X, Xing H, Zhao B, Wang X, Song F, Qu R, Feng L (2024) DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series classification. IEEE Transactions on Cognitive and Developmental Systems"},{"key":"20310_CR32","volume-title":"Deep contrastive representation learning with self-distillation","author":"Z Xiao","year":"2023","unstructured":"Xiao Z, Xing H, Zhao B, Qu R, Luo S, Dai P, Li K, Zhu Z (2023) Deep contrastive representation learning with self-distillation. IEEE Transactions on Emerging Topics in Computational Intelligence"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-20310-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-20310-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-20310-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T11:28:02Z","timestamp":1758713282000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-20310-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,12]]},"references-count":32,"journal-issue":{"issue":"38","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["20310"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-20310-y","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,12]]},"assertion":[{"value":"7 February 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 September 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 October 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 September 2025","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Update","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"In this article, the affiliation details were incorrectly given as \"Dept of School of Computing, SRMIST, Kattankulathur, Tamil Nadu, India\", but should have been \"Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India\".","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"No violation of Human and Animal Rights is involved.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and animal rights"}},{"value":"No participation of humans takes place in this implementation process.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Conflict of Interest is not applicable in this work.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}