{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:57:19Z","timestamp":1743137839524,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030601485"},{"type":"electronic","value":"9783030601492"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-60149-2_27","type":"book-chapter","created":{"date-parts":[[2020,9,24]],"date-time":"2020-09-24T06:02:54Z","timestamp":1600927374000},"page":"345-357","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development of Night Time Calling System by Eye Movement Using Wearable Camera"],"prefix":"10.1007","author":[{"given":"Kazuki","family":"Sakamoto","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8844-9707","authenticated-orcid":false,"given":"Takeshi","family":"Saitoh","sequence":"additional","affiliation":[]},{"given":"Kazuyuki","family":"Itoh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,25]]},"reference":[{"key":"27_CR1","unstructured":"eyeSwitch. http:\/\/www.emfasys.co.jp\/index8f.html"},{"key":"27_CR2","unstructured":"Gazo GPE3. https:\/\/www.gazo.co.jp\/gaze_point_estimation"},{"key":"27_CR3","unstructured":"Tobii Pro Fusion. https:\/\/www.tobiipro.com\/product-listing\/fusion\/"},{"key":"27_CR4","unstructured":"Tobii Pro Glasses 3. https:\/\/www.tobiipro.com\/product-listing\/tobii-pro-glasses-3\/"},{"key":"27_CR5","unstructured":"Tobii Pro Nano. https:\/\/www.tobiipro.com\/product-listing\/nano\/"},{"key":"27_CR6","doi-asserted-by":"publisher","unstructured":"Chinsatit, W., Saitoh, T.: CNN-based pupil center detection for wearable gaze estimation system. Applied Computational Intelligence and Soft Computin 2017 (2017). https:\/\/doi.org\/10.1155\/2017\/8718956","DOI":"10.1155\/2017\/8718956"},{"key":"27_CR7","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1016\/j.patcog.2018.12.014","volume":"88","author":"C Gou","year":"2019","unstructured":"Gou, C., Zhang, H., Wang, K., Wang, F.Y., Ji, Q.: Cascade learning from adversarial synthetic images for accurate pupil detection. Pattern Recogn. 88, 584\u2013594 (2019). https:\/\/doi.org\/10.1016\/j.patcog.2018.12.014","journal-title":"Pattern Recogn."},{"key":"27_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ijmedinf.2015.11.010","volume":"86","author":"J Klemets","year":"2016","unstructured":"Klemets, J., Toussaint, P.: Does revealing contextual knowledge of the patient fs intention help nurses\u2019 handling of nurse calls? Int. J. Med. Inform. 86, 1\u20139 (2016). https:\/\/doi.org\/10.1016\/j.ijmedinf.2015.11.010","journal-title":"Int. J. Med. Inform."},{"key":"27_CR9","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: 26th Annual Conference on Neural Information Processing Systems (NIPS2012), pp. 1097\u20131105 (2012)"},{"issue":"3","key":"27_CR10","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.braindev.2013.04.005","volume":"36","author":"T Ohya","year":"2014","unstructured":"Ohya, T., Morita, K., Yamashita, Y., Egami, C., Ishii, Y., Nagamitsu, S., Matsuishi, T.: Impaired exploratory eye movements in children with Asperger fs syndrome. Brain Dev. 36(3), 241\u2013247 (2014). https:\/\/doi.org\/10.1016\/j.braindev.2013.04.005","journal-title":"Brain Dev."},{"key":"27_CR11","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.compbiomed.2013.10.014","volume":"44","author":"F Ongenae","year":"2014","unstructured":"Ongenae, F., Claeys, M., Kerckhove, W., Dupont, T., Verhoeve, P., Turck, F.: A self-learning nurse call system. Comput. Biol. Med. 44, 110\u2013123 (2014). https:\/\/doi.org\/10.1016\/j.compbiomed.2013.10.014","journal-title":"Comput. Biol. Med."},{"key":"27_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1007\/978-3-319-16865-4_35","volume-title":"Computer Vision \u2013 ACCV 2014","author":"T Pfister","year":"2015","unstructured":"Pfister, T., Simonyan, K., Charles, J., Zisserman, A.: Deep convolutional neural networks for efficient pose estimation in gesture videos. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9003, pp. 538\u2013552. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16865-4_35"},{"issue":"2","key":"27_CR13","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.cmpb.2015.04.004","volume":"120","author":"MS Unluturk","year":"2015","unstructured":"Unluturk, M.S., Ozcanhan, M.H., Dalkilic, G.: Improving communication among nurses and patients. Comput. Methods Programs Biomed. 120(2), 102\u201312 (2015). https:\/\/doi.org\/10.1016\/j.cmpb.2015.04.004","journal-title":"Comput. Methods Programs Biomed."},{"key":"27_CR14","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.chb.2018.08.007","volume":"100","author":"CC Wang","year":"2019","unstructured":"Wang, C.C., Hung, J.C.: Comparative analysis of advertising attention to Facebook social network: evidence from eye-movement data. Comput. Hum. Behav. 100, 192\u2013208 (2019). https:\/\/doi.org\/10.1016\/j.chb.2018.08.007","journal-title":"Comput. Hum. Behav."},{"key":"27_CR15","doi-asserted-by":"publisher","first-page":"108307","DOI":"10.1016\/j.jneumeth.2019.05.016","volume":"324","author":"YH Yiu","year":"2019","unstructured":"Yiu, Y.H., et al.: DeepVOG: open-source pupil segmentation and gaze estimation in neuroscience using deep learning. J. Neurosci. Methods 324, 108307 (2019). https:\/\/doi.org\/10.1016\/j.jneumeth.2019.05.016","journal-title":"J. Neurosci. Methods"}],"container-title":["Lecture Notes in Computer Science","HCI International 2020 \u2013 Late Breaking Papers: Universal Access and Inclusive Design"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60149-2_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T00:04:06Z","timestamp":1727136246000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-60149-2_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030601485","9783030601492"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60149-2_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"25 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","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":"19 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2020","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":"hcii2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2020.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}