{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:47:43Z","timestamp":1742914063007,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030551797"},{"type":"electronic","value":"9783030551803"}],"license":[{"start":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T00:00:00Z","timestamp":1598313600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T00:00:00Z","timestamp":1598313600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-55180-3_54","type":"book-chapter","created":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T23:04:00Z","timestamp":1598310240000},"page":"710-723","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Detecting Cues of Driver Fatigue on Facial Appearance"],"prefix":"10.1007","author":[{"given":"Ann","family":"Nosseir","sequence":"first","affiliation":[]},{"given":"Mohamed Esmat","family":"El-sayed","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,25]]},"reference":[{"unstructured":"Toyota: Toyota Safety Sensee. \nhttps:\/\/www.toyota-europe.com\/world-of-toyota\/safety\/toyota-safety-sense\n\n. Accessed 28 Mar 2019","key":"54_CR1"},{"unstructured":"Volkswagen: Driver Assist. \nhttps:\/\/www.volkswagen.co.uk\/technology\/driver-assist\n\n. Accessed 28 Mar 2019","key":"54_CR2"},{"unstructured":"Nissan: Driver Attention Alert. \nhttp:\/\/www.nissantechnicianinfo.mobi\/htmlversions\/2015_June-July_Issue2\/Driver_Attention_Alert.html\n\n. Accessed 28 Mar 2019","key":"54_CR3"},{"unstructured":"F.I. Release and H. I. Works: Nissan\u2019s \u2018Driver Attention Alert\u2019 Helps Detect Erratic Driving Caused By Drowsiness and Inattention, pp. 1\u20132 (2016)","key":"54_CR4"},{"unstructured":"Nosseir, A., Hamad, A., Wahdan, A.: Detecting drivers\u2019 fatigue in different conditions using real time non-intrusive system. In: Fourth International Congress on Information and Communication Technology - ICICT 2019, London, vol. 2, pp. 156\u2013164. Springer, Singapore (2019)","key":"54_CR5"},{"issue":"5","key":"54_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3186585","volume":"51","author":"MN Rastgoo","year":"2018","unstructured":"Rastgoo, M.N., Nakisa, B., Rakotonirainy, A., Chandran, V., Tjondronegoro, D.: A critical review of proactive detection of driver stress levels based on multimodal measurements. ACM Comput. Surv. 51(5), 1\u201335 (2018)","journal-title":"ACM Comput. Surv."},{"issue":"9","key":"54_CR7","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.5665\/sleep.2964","volume":"36","author":"T Sundelin","year":"2013","unstructured":"Sundelin, T., Lekander, M., Kecklund, G., Van Someren, E.J.W., Olsson, A., Axelsson, J.: Cues of fatigue: effects of sleep deprivation on facial appearance. Sleep 36(9), 1355\u20131360 (2013)","journal-title":"Sleep"},{"key":"54_CR8","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1023\/B:AIRE.0000045502.10941.a9","volume":"22","author":"VJ Hodge","year":"2004","unstructured":"Hodge, V.J., Austin, J.: A survey of outlier detection methodologies. Artif. Intell. Rev. 22, 85\u2013126 (2004)","journal-title":"Artif. Intell. Rev."},{"issue":"8","key":"54_CR9","doi-asserted-by":"publisher","first-page":"3055","DOI":"10.1109\/JSEN.2018.2807245","volume":"18","author":"A Chowdhury","year":"2018","unstructured":"Chowdhury, A., Shankaran, R., Kavakli, M., Haque, M.M.: Sensor applications and physiological features in drivers\u2019 drowsiness detection: a review. IEEE Sens. J. 18(8), 3055\u20133067 (2018)","journal-title":"IEEE Sens. J."},{"key":"54_CR10","doi-asserted-by":"publisher","first-page":"7344","DOI":"10.1016\/j.eswa.2015.05.028","volume":"42","author":"L Chen","year":"2015","unstructured":"Chen, L., Zhao, Y., Zhang, J., Zou, J.: Automatic detection of alertness\/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning. Expert Syst. Appl. 42, 7344\u20137355 (2015)","journal-title":"Expert Syst. Appl."},{"issue":"July","key":"54_CR11","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.ijpsycho.2018.07.476","volume":"133","author":"J Chen","year":"2018","unstructured":"Chen, J., Wang, H., Hua, C.: Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks. Int. J. Psychophysiol. 133(July), 120\u2013130 (2018)","journal-title":"Int. J. Psychophysiol."},{"issue":"10","key":"54_CR12","doi-asserted-by":"publisher","first-page":"1322","DOI":"10.1049\/iet-its.2018.5290","volume":"12","author":"P Wang","year":"2018","unstructured":"Wang, P., Min, J., Hu, J.: Ensemble classifier for driver\u2019s fatigue detection based on a single EEG channel. IET Intell. Transp. Syst. 12(10), 1322\u20131328 (2018)","journal-title":"IET Intell. Transp. Syst."},{"issue":"3","key":"54_CR13","doi-asserted-by":"publisher","first-page":"196","DOI":"10.3390\/e20030196","volume":"20","author":"F Wang","year":"2018","unstructured":"Wang, F., Wang, H., Fu, R.: Real-time ECG-based detection of fatigue driving using sample entropy. Entropy 20(3), 196 (2018)","journal-title":"Entropy"},{"key":"54_CR14","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.measurement.2018.03.040","volume":"122","author":"A Affanni","year":"2018","unstructured":"Affanni, A., Bernardini, R., Piras, A., Rinaldo, R., Zontone, P.: Driver\u2019s stress detection using skin potential response signals. Meas. J. Int. Meas. Confed. 122, 264\u2013274 (2018)","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"54_CR15","doi-asserted-by":"publisher","first-page":"1906","DOI":"10.1016\/j.clinph.2007.04.031","volume":"118","author":"C Papadelis","year":"2007","unstructured":"Papadelis, C., Chen, Z., Kourtidou-papadeli, C.: Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents. Clin. Neurophysiol. 118, 1906\u20131922 (2007)","journal-title":"Clin. Neurophysiol."},{"doi-asserted-by":"crossref","unstructured":"Maga\u00f1a, V.C., Organero, M.M., \u00c1lvarez-Garc\u00eda, J.A., Rodr\u00edguez, J.Y.F.: Estimation of the optimum speed to minimize the driver stress based on the previous behavior. In: Advances in Intelligent Systems and Computing, vol. 476, pp. 31\u201339 (2016)","key":"54_CR16","DOI":"10.1007\/978-3-319-40114-0_4"},{"unstructured":"Ramodhine, K., Panchoo, S.: Emerging trends in electrical, electronic and communications engineering. In: Emerging Trends in Electrical, Electronic and Communications Engineering, Lecture Notes in Electrical Engineering, vol. 416 (2017)","key":"54_CR17"},{"doi-asserted-by":"crossref","unstructured":"Wathiq, O., Ambudkar, B.D.: Optimized driver safety through driver fatigue detection methods. In: International Conference on Trends in Electronics and Informatics ICEI 2017, pp. 68\u201373 (2017)","key":"54_CR18","DOI":"10.1109\/ICOEI.2017.8300787"},{"unstructured":"Abtahi, S., Hariri, B., Shirmohammadi, S.: Driver Drowsiness Monitoring Based on Yawning Detection, July 2015","key":"54_CR19"},{"unstructured":"Face Recognition Technology (FERET). \nhttps:\/\/www.nist.gov\/programs-projects\/face-recognition-technology-feret","key":"54_CR20"},{"unstructured":"Dalal, N. et al.: Histograms of Oriented Gradients for Human Detection To cite this version: HAL Id: inria-00548512 Histograms of Oriented Gradients for Human Detection (2010)","key":"54_CR21"},{"issue":"2","key":"54_CR22","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Way, O.M., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137\u2013154 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"4","key":"54_CR23","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1109\/TGRS.1990.572934","volume":"28","author":"D-C He","year":"1990","unstructured":"He, D.-C., Wang, L.I.: Texture unit, texture spectrum, and texture analysis. IEEE Trans. Geosci. Remote Sens. 28(4), 509\u2013512 (1990)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"unstructured":"Train a Cascade Object Detector. \nhttps:\/\/uk.mathworks.com\/help\/vision\/ug\/train-a-cascade-object-detector.html","key":"54_CR24"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-55180-3_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T23:12:20Z","timestamp":1598310740000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-55180-3_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,25]]},"ISBN":["9783030551797","9783030551803"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-55180-3_54","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,8,25]]},"assertion":[{"value":"25 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IntelliSys","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Proceedings of SAI Intelligent Systems Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"London","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intellisys2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/saiconference.com\/IntelliSys","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}