{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:28:46Z","timestamp":1775082526032,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819584048","type":"print"},{"value":"9789819584055","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-8405-5_13","type":"book-chapter","created":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:15:12Z","timestamp":1775074512000},"page":"236-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CSI-Based Human Activity Recognition Using Spatial-Temporal Features and Attention"],"prefix":"10.1007","author":[{"given":"Wenping","family":"Yu","sequence":"first","affiliation":[]},{"given":"Jianhao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yusong","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Zhewen","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jianzhong","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,4,2]]},"reference":[{"issue":"5","key":"13_CR1","doi-asserted-by":"publisher","first-page":"4145","DOI":"10.1007\/s00521-022-07937-4","volume":"35","author":"G Saleem","year":"2023","unstructured":"Saleem, G., Bajwa, U.I., Raza, R.H.: Toward human activity recognition: a survey. Neural Comput. & Applic. 35(5), 4145\u20134182 (2023)","journal-title":"Neural Comput. & Applic."},{"issue":"6","key":"13_CR2","doi-asserted-by":"publisher","first-page":"4755","DOI":"10.1007\/s10462-021-10116-x","volume":"55","author":"N Gupta","year":"2022","unstructured":"Gupta, N., Gupta, S.K., Pathak, R.K., et al.: Human activity recognition in artificial intelligence framework: a narrative review. Artif. Intell. Rev. 55(6), 4755\u20134808 (2022)","journal-title":"Artif. Intell. Rev."},{"issue":"5","key":"13_CR3","doi-asserted-by":"publisher","first-page":"1366","DOI":"10.1007\/s11263-022-01594-9","volume":"130","author":"Y Kong","year":"2022","unstructured":"Kong, Y., Fu, Y.: Human action recognition and prediction: a survey. Int. J. Comput. Vis. 130(5), 1366\u20131401 (2022)","journal-title":"Int. J. Comput. Vis."},{"key":"13_CR4","doi-asserted-by":"publisher","first-page":"1581","DOI":"10.1007\/s40747-023-01173-6","volume":"10","author":"J Qi","year":"2024","unstructured":"Qi, J., Ma, L., Cui, Z., et al.: Computer vision-based hand gesture recognition for human-robot interaction: a review. Complex Intell. Syst. 10, 1581\u20131606 (2024)","journal-title":"Complex Intell. Syst."},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"157422","DOI":"10.1109\/ACCESS.2021.3129650","volume":"9","author":"N Mohamed","year":"2021","unstructured":"Mohamed, N., Mustafa, M.B., Jomhari, N.: A review of the hand gesture recognition system: current progress and future directions. IEEE Access. 9, 157422\u2013157436 (2021)","journal-title":"IEEE Access"},{"issue":"6","key":"13_CR6","doi-asserted-by":"publisher","first-page":"8441","DOI":"10.1109\/JSEN.2021.3049273","volume":"21","author":"WK Wong","year":"2021","unstructured":"Wong, W.K., Juwono, F.H., Khoo, B.T.T.: multi-features capacitive hand gesture recognition sensor: a machine learning approach. IEEE Sensors J. 21(6), 8441\u20138450 (2021)","journal-title":"IEEE Sensors J."},{"key":"13_CR7","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1145\/2789168.2790093","volume-title":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","author":"W Wang","year":"2015","unstructured":"Wang, W., Liu, A.X., Shahzad, M., et al.: Understanding and modeling of WiFi signal based human activity recognition. In: Proceedings of the 21st Annual International Conference on Mobile Computing and Networking, pp. 65\u201376. ACM., New York (2015)"},{"issue":"21","key":"13_CR8","doi-asserted-by":"publisher","first-page":"7225","DOI":"10.3390\/s21217225","volume":"21","author":"PF Moshiri","year":"2021","unstructured":"Moshiri, P.F., Shahbazian, R., Nabati, M., et al.: A CSI-based human activity recognition using deep learning. Sensors. 21(21), 7225 (2021)","journal-title":"Sensors"},{"key":"13_CR9","doi-asserted-by":"crossref","unstructured":"Hnoohom N, Mekruksavanich S, Theeramunkong T, et al.: Efficient residual neural network for human activity recognition using WiFi CSI signals. In: Proceedings of the 2024 9th International Conference on Information and Education Innovations, pp. 113\u2013119. ACM, New York (2024)","DOI":"10.1145\/3664934.3664950"},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1145\/3210240.3210335","volume-title":"Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services","author":"RH Venkatnarayan","year":"2018","unstructured":"Venkatnarayan, R.H., Page, G., Shahzad, M.: Multi-user gesture recognition using WiFi. In: Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, pp. 401\u2013413. ACM, New York (2018)"},{"key":"13_CR11","first-page":"183","volume-title":"Proceedings of the 2023 3rd International Conference on Digital Society and Intelligent Systems","author":"X Yang","year":"2023","unstructured":"Yang, X., Dai, P.: An ANN-to-SNN method for WiFi-CSI based gesture recognition. In: Proceedings of the 2023 3rd International Conference on Digital Society and Intelligent Systems, pp. 183\u2013186. IEEE, New York (2023)"},{"issue":"3","key":"13_CR12","doi-asserted-by":"publisher","first-page":"100703","DOI":"10.1016\/j.patter.2023.100703","volume":"4","author":"J Yang","year":"2023","unstructured":"Yang, J., Chen, X., Zou, H., et al.: SenseFi: a library and benchmark on deep-learning-empowered WiFi human sensing. Patterns. 4(3), 100703 (2023)","journal-title":"Patterns"},{"issue":"4","key":"13_CR13","doi-asserted-by":"publisher","first-page":"2517","DOI":"10.1109\/JIOT.2020.3024234","volume":"8","author":"R Zhang","year":"2020","unstructured":"Zhang, R., Jing, X., Wu, S., et al.: Device-free wireless sensing for human detection: the deep learning perspective. IEEE Internet Things J. 8(4), 2517\u20132539 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"13_CR14","first-page":"1","volume":"11","author":"L Zhang","year":"2020","unstructured":"Zhang, L., Zhang, Y., Zheng, X.: Wisign: ubiquitous American sign language recognition using commercial Wi-fi devices. ACM Trans. Intell. Syst. Technol. (TIST). 11(3), 1\u201324 (2020)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"13_CR15","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1016\/j.procs.2024.04.042","volume":"235","author":"P Sruthi","year":"2024","unstructured":"Sruthi, P., Satapathy, S., Udgata, S.K.: HandFi: WiFi sensing based hand gesture recognition using channel state information. Procedia Comput. Sci. 235, 426\u2013435 (2024)","journal-title":"Procedia Comput. Sci."},{"issue":"12","key":"13_CR16","doi-asserted-by":"publisher","first-page":"6999","DOI":"10.1109\/TNNLS.2021.3084827","volume":"33","author":"Z Li","year":"2022","unstructured":"Li, Z., Liu, F., Yang, W., et al.: A survey of convolutional neural networks: analysis, applications, and prospects. IEEE Trans. Neural Networks Learn. Syst. 33(12), 6999\u20137019 (2022)","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"key":"13_CR17","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1007\/978-981-16-5157-1_54","volume-title":"Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021","author":"K Banjarey","year":"2022","unstructured":"Banjarey, K., Sahu, S.P., et al.: Human activity recognition using 1D convolutional neural network. In: Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021, pp. 691\u2013702. Springer, Singapore (2022)"},{"key":"13_CR18","doi-asserted-by":"publisher","first-page":"132306","DOI":"10.1016\/j.physd.2019.132306","volume":"404","author":"A Herstinsky","year":"2020","unstructured":"Herstinsky, A.: Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network. Phys D: Nonlinear Phenom. 404, 132306 (2020)","journal-title":"Phys D: Nonlinear Phenom."}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-8405-5_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:15:13Z","timestamp":1775074513000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-8405-5_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819584048","9789819584055"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-8405-5_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ieee-cybermatics.org\/2025\/ica3pp\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}