{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T21:57:52Z","timestamp":1757627872728,"version":"3.44.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032020871"},{"type":"electronic","value":"9783032020888"}],"license":[{"start":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T00:00:00Z","timestamp":1755475200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,18]],"date-time":"2025-08-18T00:00:00Z","timestamp":1755475200000},"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\/978-3-032-02088-8_18","type":"book-chapter","created":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T16:14:00Z","timestamp":1755965640000},"page":"254-269","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards IoT-Based Smart Mobility Framework for\u00a0Proactive Road Stress Detection in\u00a0Individuals with\u00a0ASD"],"prefix":"10.1007","author":[{"given":"Barry Amadou","family":"Djoulde","sequence":"first","affiliation":[]},{"given":"Nawal","family":"Guermouche","sequence":"additional","affiliation":[]},{"given":"Viviane","family":"Kostrubiec","sequence":"additional","affiliation":[]},{"given":"Pierre Vincent","family":"Paubel","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,18]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"29788","DOI":"10.1109\/ACCESS.2022.3158658","volume":"10","author":"M Amin","year":"2022","unstructured":"Amin, M., et al.: ECG-based driver\u2019s stress detection using deep transfer learning and fuzzy logic approaches. IEEE Access 10, 29788\u201329809 (2022)","journal-title":"IEEE Access"},{"issue":"15","key":"18_CR2","first-page":"1575","volume":"332","author":"WM Association","year":"2024","unstructured":"Association, W.M.: World medical association declaration of Helsinki: ethical principles for medical research involving human participants. JAMA 332(15), 1575\u20131583 (2024)","journal-title":"JAMA"},{"issue":"6","key":"18_CR3","first-page":"39","volume":"9","author":"S Benssassi","year":"2018","unstructured":"Benssassi, S., Aitken, J.M., Waraich, A.: Wearable assistive technologies for autism: opportunities and challenges. IEEE Pulse 9(6), 39\u201342 (2018)","journal-title":"IEEE Pulse"},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3301498","volume":"12","author":"D Bian","year":"2019","unstructured":"Bian, D., Wade, J.W., Swanson, A., Weitlauf, A.S., Warren, Z., Sarkar, N.: Design of a physiology-based adaptive virtual reality driving platform for individuals with ASD. ACM Trans. Accessible Comput. (TACCESS) 12, 1\u201324 (2019). https:\/\/doi.org\/10.1145\/3301498","journal-title":"ACM Trans. Accessible Comput. (TACCESS)"},{"issue":"5","key":"18_CR5","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.3390\/su10051461","volume":"10","author":"A Cecchini","year":"2018","unstructured":"Cecchini, A., Corti, S., Ranci, E.: Mobility policies and extra-small projects for improving mobility of people with autism spectrum disorder. Sustainability 10(5), 1461 (2018)","journal-title":"Sustainability"},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"1258","DOI":"10.1007\/s10803-019-04341-1","volume":"50","author":"D Cox","year":"2020","unstructured":"Cox, D., et al.: A pilot study comparing newly licensed drivers with and without autism and experienced drivers in simulated and on-road driving. J. Autism Dev. Disord. 50, 1258\u20131268 (2020)","journal-title":"J. Autism Dev. Disord."},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1186\/2040-2392-4-49","volume":"4","author":"JM Eriksson","year":"2013","unstructured":"Eriksson, J.M., Andersen, L.M., Bejerot, S.: RAADS-14 screen: validity of a screening tool for autism spectrum disorder in an adult psychiatric population. Mol. Autism 4, 49 (2013). https:\/\/doi.org\/10.1186\/2040-2392-4-49","journal-title":"Mol. Autism"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Fok, M., Owens, J., Ollendick, T., Scarpa, A.: Perceived driving difficulty, negative affect, and emotion dysregulation in self-identified autistic emerging drivers. Front. Psychol. 13 (2022)","DOI":"10.3389\/fpsyg.2022.754776"},{"key":"18_CR9","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1109\/TITS.2005.848368","volume":"6","author":"J Healey","year":"2005","unstructured":"Healey, J., Picard, R.W.: Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans. Intell. Transp. Syst. 6, 156\u2013166 (2005)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"8","key":"18_CR10","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"18_CR11","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1159\/000530376","volume":"82","author":"S Immanuel","year":"2023","unstructured":"Immanuel, S., Teferra, M.N., Baumert, M., Bidargaddi, N.: Heart rate variability for evaluating psychological stress changes in healthy adults: A scoping review. Neuropsychobiology 82, 187\u2013202 (2023)","journal-title":"Neuropsychobiology"},{"issue":"4","key":"18_CR12","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1109\/MPRV.2010.46","volume":"10","author":"M Jabon","year":"2011","unstructured":"Jabon, M., Bailenson, J., Pontikakis, E., Takayama, L., Nass, C.: Facial expression analysis for predicting unsafe driving behavior. IEEE Pervasive Comput. 10(4), 84\u201395 (2011)","journal-title":"IEEE Pervasive Comput."},{"issue":"11","key":"18_CR13","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"3","key":"18_CR14","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1097\/DBP.0000000000001021","volume":"43","author":"N Cheak-Zamora","year":"2022","unstructured":"Cheak-Zamora, N., Tait, A., Coleman, A.: Assessing and promoting independence in young adults with autism spectrum disorder. J. Dev. Behav. Pediatr. 43(3), 130\u2013139 (2022)","journal-title":"J. Dev. Behav. Pediatr."},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Padmanaban, V., Sudhakaran, A., Sabnis, S., Geetha, S.: An autonomous driving system\u2014dedicated vehicle for people with asd and their caregivers. arXiv preprint arXiv:2108.04367 (2021)","DOI":"10.1145\/3473682.3480282"},{"key":"18_CR16","doi-asserted-by":"publisher","DOI":"10.3389\/fnint.2022.871227","volume":"16","author":"SW Porges","year":"2022","unstructured":"Porges, S.W.: Polyvagal theory: a science of safety. Front. Integr. Neurosci. 16, 871227 (2022)","journal-title":"Front. Integr. Neurosci."},{"key":"18_CR17","doi-asserted-by":"crossref","unstructured":"Rastgoo, M., Nakisa, B., Maire, F., Rakotonirainy, A., Chandran, V.: Automatic driver stress level classification using multimodal deep learning. Expert Syst. Appl. 138 (2019)","DOI":"10.1016\/j.eswa.2019.07.010"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Seo, W., Kim, N., Kim, S., Lee, C., min Park, S.: Deep ECG-respiration network (deeper net) for recognizing mental stress. Sensors (Basel, Switzerland) 19 (2019)","DOI":"10.3390\/s19133021"},{"key":"18_CR19","doi-asserted-by":"publisher","first-page":"11892","DOI":"10.1109\/JSEN.2022.3170915","volume":"22","author":"W Seo","year":"2022","unstructured":"Seo, W., Kim, N., Park, C., Park, S.M.: Deep learning approach for detecting work-related stress using multimodal signals. IEEE Sens. J. 22, 11892\u201311902 (2022)","journal-title":"IEEE Sens. J."},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Shaffer, F., McCraty, R., Zerr, C.L.: A healthy heart is not a metronome: an integrative review of the heart\u2019s anatomy and heart rate variability. Front. Psychol. 5 (2014)","DOI":"10.3389\/fpsyg.2014.01040"},{"key":"18_CR21","doi-asserted-by":"publisher","first-page":"3303","DOI":"10.1109\/TITS.2020.2980555","volume":"22","author":"K Wang","year":"2020","unstructured":"Wang, K., Guo, P.: An ensemble classification model with unsupervised representation learning for driving stress recognition using physiological signals. IEEE Trans. Intell. Transp. Syst. 22, 3303\u20133315 (2020)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Wang, K., Murphey, Y., Zhou, Y., Hu, X., Zhang, X.: Detection of driver stress in real-world driving environment using physiological signals. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), vol. 1, pp. 1807\u20131814 (2019)","DOI":"10.1109\/INDIN41052.2019.8972264"},{"issue":"3","key":"18_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3388790","volume":"53","author":"S Zepf","year":"2021","unstructured":"Zepf, S., Hernandez, J., Schmitt, A., Minker, W., Picard, R.W.: Driver emotion recognition for intelligent vehicles: A survey. ACM Comput. Surv. 53(3), 1\u201330 (2021)","journal-title":"ACM Comput. Surv."}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02088-8_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T05:12:27Z","timestamp":1757481147000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02088-8_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,18]]},"ISBN":["9783032020871","9783032020888"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02088-8_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,8,18]]},"assertion":[{"value":"18 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","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":"25 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"36","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/2025\/dexa2025.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}