{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T04:11:41Z","timestamp":1763007101044,"version":"3.45.0"},"publisher-location":"Singapore","reference-count":27,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819530540"},{"type":"electronic","value":"9789819530557"}],"license":[{"start":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T00:00:00Z","timestamp":1763078400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T00:00:00Z","timestamp":1763078400000},"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\/978-981-95-3055-7_6","type":"book-chapter","created":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T04:07:24Z","timestamp":1763006844000},"page":"65-76","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-sensor Fusion Framework for\u00a0HAR: Integrating Time-Frequency Features and\u00a0Self-supervised Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6927-1362","authenticated-orcid":false,"given":"Xiang","family":"Wu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0678-0154","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,14]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutorials 15(3), 1192\u20131209 (2012)","DOI":"10.1109\/SURV.2012.110112.00192"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: HARDVS: revisiting human activity recognition with dynamic vision sensors. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, pp. 5615\u20135623 (2024)","DOI":"10.1609\/aaai.v38i6.28372"},{"issue":"15","key":"6_CR3","doi-asserted-by":"publisher","first-page":"16979","DOI":"10.1109\/JSEN.2021.3079883","volume":"21","author":"Mitchell Webber and Raul Fernandez Rojas","year":"2021","unstructured":"Mitchell Webber and Raul Fernandez Rojas: Human activity recognition with accelerometer and gyroscope: a data fusion approach. IEEE Sens. J. 21(15), 16979\u201316989 (2021)","journal-title":"IEEE Sens. J."},{"issue":"4","key":"6_CR4","first-page":"1","volume":"54","author":"K Chen","year":"2021","unstructured":"Chen, K., Zhang, D., Yao, L., Guo, B., Zhiwen, Yu., Liu, Y.: Deep learning for sensor-based human activity recognition: overview, challenges, and opportunities. ACM Comput. Surv. (CSUR) 54(4), 1\u201340 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"2","key":"6_CR5","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1109\/TIM.2019.2895931","volume":"69","author":"Y Zhang","year":"2019","unstructured":"Zhang, Y., Tian, G., Zhang, S., Li, C.: A knowledge-based approach for multiagent collaboration in smart home: from activity recognition to guidance service. IEEE Trans. Instrum. Meas. 69(2), 317\u2013329 (2019)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Zhou, X., et al.: Deep-learning-enhanced human activity recognition for internet of healthcare things. IEEE Internet Things J. 7(7), 6429\u20136438 (2020)","DOI":"10.1109\/JIOT.2020.2985082"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Shen, Q., et\u00a0al.: Federated multi-task attention for cross-individual human activity recognition. In: IJCAI, pp. 3423\u20133429 (2022)","DOI":"10.24963\/ijcai.2022\/475"},{"key":"6_CR8","unstructured":"Li, S., Tang, H.: Multimodal alignment and fusion: a survey. arXiv preprint: arXiv:2411.17040 (2024)"},{"key":"6_CR9","doi-asserted-by":"publisher","first-page":"103342","DOI":"10.1016\/j.bspc.2021.103342","volume":"72","author":"H Li","year":"2022","unstructured":"Li, H., Ding, M., Zhang, R., Xiu, C.: Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network. Biomed. Signal Process. Control 72, 103342 (2022)","journal-title":"Biomed. Signal Process. Control"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Wu, H., Feng, H., Shi, L., Zhang, H., Xu, H.: The SES framework and frequency domain information fusion strategy for human activity recognition. In: 2024 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20139 (2024)","DOI":"10.1109\/IJCNN60899.2024.10650417"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Tan, T.H., Wu, J.Y., Liu, S.H., Gochoo, M.: Human activity recognition using an ensemble learning algorithm with smartphone sensor data. Electronics 11(3) (2022)","DOI":"10.3390\/electronics11030322"},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"121296","DOI":"10.1016\/j.eswa.2023.121296","volume":"236","author":"H Feng","year":"2024","unstructured":"Feng, H., Shen, Q., Song, R., Shi, L., Hao, X.: ATFA: adversarial time-frequency attention network for sensor-based multimodal human activity recognition. Expert Syst. Appl. 236, 121296 (2024)","journal-title":"Expert Syst. Appl."},{"key":"6_CR13","unstructured":"Yi, K., et al.: Frequency-domain MLPs are more effective learners in time series forecasting. In: Advances in Neural Information Processing Systems, vol. 36, pp. 76656\u201376679 (2023)"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Anguita, D., Ghio, A., Oneto, L., Parra, X., Reyes-Ortiz, J.L.: Human activity recognition on smartphones using a multiclass hardwarefriendly support vector machine. In: Ambient Assisted Living and Home Care: 4th International Workshop, IWAAL 2012, Vitoria-Gasteiz, Spain, 3\u20135 December 2012. Proceedings 4, pp. 216\u2013223. Springer (2012)","DOI":"10.1007\/978-3-642-35395-6_30"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Ahmed, N., Rafiq, J.I., Islam, M.R.: Enhanced human activity recognition based on smartphone sensor data using hybrid feature selection model. Sensors 20(1), 317 (2020)","DOI":"10.3390\/s20010317"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Mashita, T., et al.: Human activity recognition for a content search system considering situations of smartphone users. In: 2012 IEEE Virtual Reality Workshops (VRW), pp. 1\u20132. IEEE (2012)","DOI":"10.1109\/VR.2012.6180847"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"Ord\u00f3\u00f1ez, F.J., Roggen, D.: Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition. Sensors 16(1), 115 (2016)","DOI":"10.3390\/s16010115"},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"56855","DOI":"10.1109\/ACCESS.2020.2982225","volume":"8","author":"K Xia","year":"2020","unstructured":"Xia, K., Huang, J., Wang, H.: LSTM-CNN architecture for human activity recognition. IEEE Access 8, 56855\u201356866 (2020)","journal-title":"IEEE Access"},{"key":"6_CR19","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.patrec.2018.02.010","volume":"119","author":"J Wang","year":"2019","unstructured":"Wang, J., Chen, Y., Hao, S., Peng, X., Lisha, H.: Deep learning for sensor-based activity recognition: a survey. Pattern Recogn. Lett. 119, 3\u201311 (2019)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"6_CR20","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1109\/JSEN.2022.3222825","volume":"23","author":"I Koo","year":"2023","unstructured":"Koo, I., Park, Y., Jeong, M., Kim, C.: Contrastive accelerometer\u2013gyroscope embedding model for human activity recognition. IEEE Sens. J. 23(1), 506\u2013513 (2023)","journal-title":"IEEE Sens. J."},{"key":"6_CR21","unstructured":"Anguita, D., et\u00a0al.: A public domain dataset for human activity recognition using smartphones. In: ESANN, vol.\u00a03, p.\u00a03 (2013)"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Banos, O., et al.: mhealthdroid: a novel framework for agile development of mobile health applications. Ambient Assist. Living Daily Activities, 91\u201398 (2014)","DOI":"10.1007\/978-3-319-13105-4_14"},{"key":"6_CR23","doi-asserted-by":"crossref","unstructured":"Reiss, A., Stricker, D.: Introducing a new benchmarked dataset for activity monitoring. In: 2012 16th International Symposium on Wearable Computers, pp. 108\u2013109. IEEE (2012)","DOI":"10.1109\/ISWC.2012.13"},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Haresamudram, H., Anderson, D.V., Pl\u00f6tz, T.: On the role of features in human activity recognition. In: Proceedings of the 2019 ACM International Symposium on Wearable Computers, pp. 78\u201388 (2019)","DOI":"10.1145\/3341163.3347727"},{"key":"6_CR25","doi-asserted-by":"crossref","unstructured":"Haresamudram, H., et al.: Masked reconstruction based self-supervision for human activity recognition. In: Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 45\u201349 (2020)","DOI":"10.1145\/3410531.3414306"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Haresamudram, H., Essa, I., Pl\u00f6tz, T.: Contrastive predictive coding for human activity recognition. In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 5, no. 2, pp. 1\u201326 (2021)","DOI":"10.1145\/3463506"},{"key":"6_CR27","unstructured":"Zhao, Y., Yang, R., Chevalier, G., Gong, M.: Deep residual Bidir-LSTM for human activity recognition using wearable sensors. CoRR, abs\/1708.08989 (2017)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3055-7_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T04:07:29Z","timestamp":1763006849000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3055-7_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,14]]},"ISBN":["9789819530540","9789819530557"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3055-7_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,11,14]]},"assertion":[{"value":"14 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Macao","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":"4 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ksem2025.scimeeting.cn\/en\/web\/index\/27434","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}