{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T17:10:01Z","timestamp":1770052201100,"version":"3.49.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032166319","type":"print"},{"value":"9783032166326","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\/978-3-032-16632-6_18","type":"book-chapter","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T06:48:55Z","timestamp":1770014935000},"page":"282-298","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Explainable Multimodal Edge Framework for\u00a0Stress Detection"],"prefix":"10.1007","author":[{"family":"Ojasvi","sequence":"first","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"family":"Kashish","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Ravneet","family":"Kaur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Rajendra Kumar","family":"Roul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]},{"given":"Shalini","family":"Batra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,3]]},"reference":[{"key":"18_CR1","volume":"135","author":"S Abdelfattah","year":"2025","unstructured":"Abdelfattah, S., Liu, C., Ortega, J.: Machine learning for acute stress detection from wearable devices using hybrid LSTM-GAN models. J. Biomed. Inform. 135, 104392 (2025)","journal-title":"J. Biomed. Inform."},{"issue":"4","key":"18_CR2","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1109\/TAFFC.2016.2631594","volume":"9","author":"J Aigrain","year":"2016","unstructured":"Aigrain, J., Spodenkiewicz, M., Dubuisson, S., Detyniecki, M., Cohen, D., Chetouani, M.: Multimodal stress detection from multiple assessments. IEEE Trans. Affect. Comput. 9(4), 491\u2013506 (2016)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Al\u00a0Hasan, M.N., Noman, N.S., Chowdhury, M.H., Chowdhury, A.: Improving multimodal stress detection using MAUS dataset with PPG, ECG and GSR signal. In: 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp.\u00a01\u20135. IEEE (2025)","DOI":"10.1109\/ECCE64574.2025.11013834"},{"key":"18_CR4","unstructured":"Arushi, A., Sharma, K., Patel, M.: Voice-based stress detection in virtual reality public speaking scenarios. In: 2022 International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE (2022)"},{"issue":"8","key":"18_CR5","first-page":"1","volume":"54","author":"S Bhattacharyya","year":"2021","unstructured":"Bhattacharyya, S., Natarajan, S., et al.: Explainable machine learning in health informatics. ACM Comput. Surv. 54(8), 1\u201338 (2021)","journal-title":"ACM Comput. Surv."},{"key":"18_CR6","unstructured":"Dupuis, K., Pichora-Fuller, M.K.: Toronto emotional speech set (TESS) (2010)"},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.jbi.2017.08.006","volume":"73","author":"M Gjoreski","year":"2017","unstructured":"Gjoreski, M., Lu\u0161trek, M., Gams, M., Gjoreski, H.: Monitoring stress with a wrist device using context. J. Biomed. Inform. 73, 159\u2013170 (2017)","journal-title":"J. Biomed. Inform."},{"key":"18_CR8","unstructured":"Goodfellow, I., Erhan, D., Carrier, L., Courville, A., Bengio, Y.: Challenges in representation learning: A report on three machine learning contests. arXiv preprint arXiv:1307.0414 (2013)"},{"key":"18_CR9","unstructured":"Kim, J., Park, S.: Local multi-head channel self-attention for facial expression recognition. arXiv preprint arXiv:2111.07224 (2022)"},{"key":"18_CR10","unstructured":"Lazarus, R.S., Folkman, S.: Stress, appraisal, and Coping. Springer, Cham (1984)"},{"key":"18_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2025.107960","volume":"109","author":"H Lee","year":"2025","unstructured":"Lee, H., Kim, J., Han, B., Park, S.M., Chang, J.: Developing an explainable deep neural network for stress detection using biosignals and human-engineered features. Biomed. Signal Process. Control 109, 107960 (2025)","journal-title":"Biomed. Signal Process. Control"},{"issue":"5","key":"18_CR12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0196391","volume":"13","author":"SR Livingstone","year":"2018","unstructured":"Livingstone, S.R., Russo, F.A.: The ryerson audio-visual database of emotional speech and song (RAVDESS). PLoS ONE 13(5), e0196391 (2018)","journal-title":"PLoS ONE"},{"issue":"16","key":"18_CR13","doi-asserted-by":"publisher","first-page":"5085","DOI":"10.3390\/s24165085","volume":"24","author":"MK Moser","year":"2024","unstructured":"Moser, M.K., Ehrhart, M., Resch, B.: An explainable deep learning approach for stress detection in wearable sensor measurements. Sensors 24(16), 5085 (2024)","journal-title":"Sensors"},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Nguyen, B.M., Pham, B.Q., Nguyen, H.T.T., Do, T.L.: Real-time stress detection on social network posts using big data technology. arXiv preprint arXiv:2411.04532 (2024)","DOI":"10.1109\/RIVF64335.2024.11009053"},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Schmidt, P., Reiss, A., Duerichen, R., Marberger, C., Van\u00a0Laerhoven, K.: Introducing wesad, a multimodal dataset for wearable stress and affect detection. In: Proceedings of the 20th ACM International Conference on Multimodal Interaction, pp. 400\u2013408 (2018)","DOI":"10.1145\/3242969.3242985"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Sethi, A., Walambe, R., Jain, P., Kotecha, K.: Multimodal mental workload classification using maus dataset. In: 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA), pp.\u00a01\u20136. IEEE (2023)","DOI":"10.1109\/ICACTA58201.2023.10393589"},{"issue":"3","key":"18_CR17","first-page":"510","volume":"14","author":"L Wang","year":"2023","unstructured":"Wang, L., Zhao, T., Sun, F.: Mental health monitoring on weibo: a multimodal fusion approach using text and behavioral signals. IEEE Trans. Affect. Comput. 14(3), 510\u2013520 (2023)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"18_CR18","unstructured":"Weerasinghe, C.: Stress detection by keystroke\/mouse changes dataset (2023)"},{"key":"18_CR19","doi-asserted-by":"crossref","unstructured":"Zhai, J., Barreto, A.: Stress detection in computer users based on digital signal processing of noninvasive physiological variables. In: 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1355\u20131358. IEEE (2006)","DOI":"10.1109\/IEMBS.2006.259421"},{"issue":"19","key":"18_CR20","doi-asserted-by":"publisher","first-page":"5552","DOI":"10.3390\/s20195552","volume":"20","author":"H Zhang","year":"2020","unstructured":"Zhang, H., Feng, L., Li, N., Jin, Z., Cao, L.: Video-based stress detection through deep learning. Sensors 20(19), 5552 (2020)","journal-title":"Sensors"},{"key":"18_CR21","unstructured":"Zhou, L., Wang, Y.: Swin-fer: Swin transformer for facial expression recognition. In: 2023 International Conference on Computer Vision and Pattern Recognition (ICCVPR). IEEE (2023)"}],"container-title":["Lecture Notes in Computer Science","Distributed Computing and Intelligent Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-16632-6_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T06:48:58Z","timestamp":1770014938000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-16632-6_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032166319","9783032166326"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-16632-6_18","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":"3 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICDCIT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Distributed Computing and Intelligent Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bhubaneswar","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":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 January 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 January 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdcit2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icdcit.kiit.ac.in\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}