{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,12]],"date-time":"2025-08-12T21:52:03Z","timestamp":1755035523098,"version":"3.40.3"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031781094"},{"type":"electronic","value":"9783031781100"}],"license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-78110-0_9","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T21:53:32Z","timestamp":1733090012000},"page":"133-147","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["ALS-HAR: Harnessing Wearable Ambient Light Sensors to\u00a0Enhance IMU-Based Human Activity Recognition"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7133-0205","authenticated-orcid":false,"given":"Lala Shakti Swarup","family":"Ray","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Gei\u00dfler","sequence":"additional","affiliation":[]},{"given":"Mengxi","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Sungho","family":"Suh","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Lukowicz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"issue":"21","key":"9_CR1","doi-asserted-by":"publisher","first-page":"6031","DOI":"10.3390\/s20216031","volume":"20","author":"F Ahamed","year":"2020","unstructured":"Ahamed, F., Shahrestani, S., Cheung, H.: Internet of things and machine learning for healthy ageing: identifying the early signs of dementia. Sensors 20(21), 6031 (2020)","journal-title":"Sensors"},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Arnab, A., Dehghani, M., Heigold, G., Sun, C., Lu\u010di\u0107, M., Schmid, C.: Vivit: a video vision transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 6836\u20136846 (2021)","DOI":"10.1109\/ICCV48922.2021.00676"},{"key":"9_CR3","doi-asserted-by":"publisher","first-page":"210816","DOI":"10.1109\/ACCESS.2020.3037715","volume":"8","author":"F Demrozi","year":"2020","unstructured":"Demrozi, F., Pravadelli, G., Bihorac, A., Rashidi, P.: Human activity recognition using inertial, physiological and environmental sensors: a comprehensive survey. IEEE Access 8, 210816\u2013210836 (2020)","journal-title":"IEEE Access"},{"issue":"15","key":"9_CR4","doi-asserted-by":"publisher","first-page":"17053","DOI":"10.1109\/JSEN.2021.3080632","volume":"21","author":"F Demrozi","year":"2021","unstructured":"Demrozi, F., Turetta, C., Chiarani, F., Kindt, P.H., Pravadelli, G.: Estimating indoor occupancy through low-cost BLE devices. IEEE Sens. J. 21(15), 17053\u201317063 (2021)","journal-title":"IEEE Sens. J."},{"key":"9_CR5","doi-asserted-by":"publisher","unstructured":"Fortes\u00a0Rey, V., Nshimyimana, D., Lukowicz, P.: Don\u2019t freeze: finetune encoders for better self-supervised har. In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, UbiComp\/ISWC 203 Adjunct, pp. 195\u2013196. Association for Computing Machinery, New York (2023). https:\/\/doi.org\/10.1145\/3594739.3610790","DOI":"10.1145\/3594739.3610790"},{"key":"9_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2023.103023","volume":"145","author":"S Isuwa","year":"2023","unstructured":"Isuwa, S., Amos, D., Singh, A.K., Al-Hashimi, B.M., Merrett, G.V.: Maximising mobile user experience through self-adaptive content-and ambient-aware display brightness scaling. J. Syst. Architect. 145, 103023 (2023)","journal-title":"J. Syst. Architect."},{"issue":"9","key":"9_CR7","first-page":"1554","volume":"67","author":"D Jiang","year":"2020","unstructured":"Jiang, D., Wu, Y., Demosthenous, A.: Hand gesture recognition using three-dimensional electrical impedance tomography. IEEE Trans. Circuits Syst. II Express Briefs 67(9), 1554\u20131558 (2020)","journal-title":"IEEE Trans. Circuits Syst. II Express Briefs"},{"key":"9_CR8","doi-asserted-by":"publisher","first-page":"6800","DOI":"10.1109\/TITS.2023.3266000","volume":"24","author":"RP Kumar","year":"2023","unstructured":"Kumar, R.P., Melcher, D., Buttolo, P., Jia, Y.: Tracking occupant activities in autonomous vehicles using capacitive sensing. IEEE Trans. Intell. Transport. Syst. 24, 6800\u20136819 (2023)","journal-title":"IEEE Trans. Intell. Transport. Syst."},{"key":"9_CR9","doi-asserted-by":"publisher","first-page":"1192","DOI":"10.1109\/SURV.2012.110112.00192","volume":"15","author":"OD Lara","year":"2013","unstructured":"Lara, O.D., Labrador, M.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tutor. 15, 1192\u20131209 (2013). https:\/\/doi.org\/10.1109\/SURV.2012.110112.00192","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.neucom.2019.06.081","volume":"362","author":"H Li","year":"2019","unstructured":"Li, H., Derrode, S., Pieczynski, W.: An adaptive and on-line imu-based locomotion activity classification method using a triplet markov model. Neurocomputing 362, 94\u2013105 (2019)","journal-title":"Neurocomputing"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Li, Y., Li, T., Patel, R.A., Yang, X.D., Zhou, X.: Self-powered gesture recognition with ambient light. In: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, pp. 595\u2013608 (2018)","DOI":"10.1145\/3242587.3242635"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Liu, M., Rey, V.F., Zhang, Y., Ray, L.S.S., Zhou, B., Lukowicz, P.: imove: exploring bio-impedance sensing for fitness activity recognition. arXiv preprint arXiv:2402.09445 (2024)","DOI":"10.1109\/PerCom59722.2024.10494489"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Mart\u00edn-Fuentes, I., Oliva-Lozano, J.M., Muyor, J.M.: Electromyographic activity in deadlift exercise and its variants. a systematic review. PloS One 15(2), e0229507 (2020)","DOI":"10.1371\/journal.pone.0229507"},{"issue":"2","key":"9_CR14","first-page":"83","volume":"235","author":"J McGrath","year":"2021","unstructured":"McGrath, J., Neville, J., Stewart, T., Cronin, J.: Upper body activity classification using an inertial measurement unit in court and field-based sports: a systematic review. Proc. Inst. Mech. Engineers Part P: J. Sports Eng. Technol. 235(2), 83\u201395 (2021)","journal-title":"Proc. Inst. Mech. Engineers Part P: J. Sports Eng. Technol."},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Mekruksavanich, S., Jantawong, P., Hnoohom, N., Jitpattanakul, A.: Human activity recognition for people with knee abnormality using surface electromyography and knee angle sensors. In: 2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), pp. 483\u2013487. IEEE (2023)","DOI":"10.1109\/ECTIDAMTNCON57770.2023.10139721"},{"key":"9_CR16","doi-asserted-by":"publisher","unstructured":"Mohmed, G., Lotfi, A., Pourabdollah, A.: Employing a deep convolutional neural network for human activity recognition based on binary ambient sensor data. In: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2020. Association for Computing Machinery, New York (2020). https:\/\/doi.org\/10.1145\/3389189.3397991","DOI":"10.1145\/3389189.3397991"},{"key":"9_CR17","doi-asserted-by":"crossref","unstructured":"Nguyen, D.A., Pham, C., Le-Khac, N.A.: Virtual fusion with contrastive learning for single sensor-based activity recognition. arXiv preprint arXiv:2312.02185 (2023)","DOI":"10.1109\/JSEN.2024.3412397"},{"key":"9_CR18","unstructured":"Nshimyimana, D., Rey, V.F., Lukowic, P.: Contrastive left-right wearable sensors (imus) consistency matching for har. arXiv preprint arXiv:2311.12674 (2023)"},{"issue":"1","key":"9_CR19","doi-asserted-by":"publisher","first-page":"115","DOI":"10.3390\/s16010115","volume":"16","author":"FJ Ord\u00f3\u00f1ez","year":"2016","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)","journal-title":"Sensors"},{"issue":"20","key":"9_CR20","doi-asserted-by":"publisher","first-page":"6828","DOI":"10.3390\/s21206828","volume":"21","author":"AJ Perez","year":"2021","unstructured":"Perez, A.J., Zeadally, S.: Recent advances in wearable sensing technologies. Sensors 21(20), 6828 (2021)","journal-title":"Sensors"},{"issue":"1","key":"9_CR21","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.1038\/s41598-023-28195-x","volume":"13","author":"M Pesenti","year":"2023","unstructured":"Pesenti, M., Invernizzi, G., Mazzella, J., Bocciolone, M., Pedrocchi, A., Gandolla, M.: IMU-based human activity recognition and payload classification for low-back exoskeletons. Sci. Rep. 13(1), 1184 (2023)","journal-title":"Sci. Rep."},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Ray, L.S.S., Zhou, B., Suh, S., Lukowicz, P.: Pressim: an end-to-end framework for dynamic ground pressure profile generation from monocular videos using physics-based 3d simulation. In: 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), pp. 484\u2013489. IEEE (2023)","DOI":"10.1109\/PerComWorkshops56833.2023.10150221"},{"key":"9_CR23","unstructured":"Rey, V.F., Ray, L.S.S., Qingxin, X., Wu, K., Lukowicz, P.: Enhancing inertial hand based har through joint representation of language, pose and synthetic imus. arXiv preprint arXiv:2406.01316 (2024)"},{"key":"9_CR24","doi-asserted-by":"crossref","unstructured":"Sadaghiani, S.M., Ardakani, A., Bhadra, S.: Ambient light-driven wireless wearable finger patch for monitoring vital signs from ppg signal. IEEE Sens. J. (2023)","DOI":"10.1109\/JSEN.2023.3335309"},{"key":"9_CR25","doi-asserted-by":"publisher","unstructured":"Salem, Z., Weiss, A.: Improved spatiotemporal framework for human activity recognition in smart environment. Sensors (Basel, Switzerland) 23, 132 (2022). https:\/\/doi.org\/10.3390\/s23010132","DOI":"10.3390\/s23010132"},{"key":"9_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/978-3-030-86137-7_47","volume-title":"Wireless Algorithms, Systems, and Applications","author":"C Shi","year":"2021","unstructured":"Shi, C., Li, T., Niu, Q.: An intelligent wallpaper based on ambient light for human activity sensing. In: Liu, Z., Wu, F., Das, S.K. (eds.) WASA 2021. LNCS, vol. 12939, pp. 441\u2013449. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86137-7_47"},{"key":"9_CR27","doi-asserted-by":"crossref","unstructured":"Vesa, A.V., et al.: Human activity recognition using smartphone sensors and beacon-based indoor localization for ambient assisted living systems. In: 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 205\u2013212. IEEE (2020)","DOI":"10.1109\/ICCP51029.2020.9266158"},{"key":"9_CR28","doi-asserted-by":"publisher","unstructured":"Wang, X., Wang, Y., Wu, J.: Position-aware indoor human activity recognition using multisensors embedded in smartphones. Sensors 24(11) (2024). https:\/\/doi.org\/10.3390\/s24113367. https:\/\/www.mdpi.com\/1424-8220\/24\/11\/3367","DOI":"10.3390\/s24113367"},{"key":"9_CR29","doi-asserted-by":"crossref","unstructured":"Xu, C., et al.: The visual accelerometer: a high-fidelity optic-to-inertial transformation framework for wearable health computing. In: 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), pp. 319\u2013329. IEEE (2022)","DOI":"10.1109\/ICHI54592.2022.00053"},{"key":"9_CR30","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neunet.2021.11.011","volume":"146","author":"SK Yadav","year":"2022","unstructured":"Yadav, S.K., et al.: Csitime: privacy-preserving human activity recognition using wifi channel state information. Neural Netw. 146, 11\u201321 (2022)","journal-title":"Neural Netw."},{"issue":"3","key":"9_CR31","first-page":"1","volume":"4","author":"D Zhang","year":"2020","unstructured":"Zhang, D., et al.: Optosense: towards ubiquitous self-powered ambient light sensing surfaces. Proc. ACM Interact. Mobile Wearable Ubiq. Technol. 4(3), 1\u201327 (2020)","journal-title":"Proc. ACM Interact. Mobile Wearable Ubiq. Technol."},{"issue":"6","key":"9_CR32","doi-asserted-by":"publisher","first-page":"4628","DOI":"10.1109\/JIOT.2020.3026732","volume":"8","author":"J Zhang","year":"2020","unstructured":"Zhang, J., et al.: Data augmentation and dense-lstm for human activity recognition using wifi signal. IEEE Internet Things J. 8(6), 4628\u20134641 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"2","key":"9_CR33","first-page":"1","volume":"6","author":"B Zhou","year":"2022","unstructured":"Zhou, B., Suh, S., Rey, V.F., Altamirano, C.A.V., Lukowicz, P.: Quali-mat: evaluating the quality of execution in body-weight exercises with a pressure sensitive sports mat. Proc. ACM Interact. Mob. Wearable Ubiq. Technol. 6(2), 1\u201345 (2022)","journal-title":"Proc. ACM Interact. Mob. Wearable Ubiq. Technol."},{"key":"9_CR34","doi-asserted-by":"crossref","unstructured":"Zhu, W., Ma, X., Liu, Z., Liu, L., Wu, W., Wang, Y.: Motionbert: a unified perspective on learning human motion representations. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 15085\u201315099 (2023)","DOI":"10.1109\/ICCV51070.2023.01385"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78110-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T23:32:25Z","timestamp":1733095945000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78110-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"ISBN":["9783031781094","9783031781100"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78110-0_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"2 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}