{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:39:21Z","timestamp":1742949561149,"version":"3.40.3"},"publisher-location":"Cham","reference-count":4,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030511937"},{"type":"electronic","value":"9783030511944"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-51194-4_132","type":"book-chapter","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T08:06:46Z","timestamp":1594109206000},"page":"1007-1013","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Visualization of Features in Multivariate Gait Data: Use of a Deep Learning for the Visualization of Body Parts and Their Timing During Gait Training"],"prefix":"10.1007","author":[{"given":"Yusuke","family":"Osawa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keiichi","family":"Watanuki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazunori","family":"Kaede","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keiichi","family":"Muramatsu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,8]]},"reference":[{"issue":"3","key":"132_CR1","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/S1836-9553(11)70035-2","volume":"57","author":"R Stanton","year":"2011","unstructured":"Stanton, R., Ada, L., Dean, C.M., Preston, E.: Biofeedback improves activities of the lower limb after stroke: a systematic review. J. Physiother. 57(3), 145\u2013155 (2011)","journal-title":"J. Physiother."},{"key":"132_CR2","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/978-3-030-11051-2_24","volume-title":"Intelligent Human Systems Integration 2019","author":"O Yusuke","year":"2019","unstructured":"Yusuke, O., Keiichi, W., Kazunori, K., Keiichi, M.: Study on gait discrimination method by deep learning for biofeedback training optimized for individuals. In: Karwowski, W., Ahram, T. (eds.) Intelligent Human Systems Integration 2019. Advances in Intelligent Systems and Computing, vol. 903, pp. 155\u2013161. Springer, Cham (2019)"},{"key":"132_CR3","doi-asserted-by":"crossref","unstructured":"Ramprasaath R., Selvaraju, M.C., Abhishek, D., Ramakrishna, V., Devi, P., Dhruv, B.: Grad-CAM: visual explanations from deep networks via gradient-based localization. \narXiv:1610.02391v3\n\n (2017)","DOI":"10.1109\/ICCV.2017.74"},{"issue":"1","key":"132_CR4","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1145\/2949741.2949758","volume":"45","author":"J Paparrizos","year":"2016","unstructured":"Paparrizos, J., Gravano, L.: K-shape: efficient and accurate clustering of time series. ACM SIGMOD Record 45(1), 69\u201376 (2016)","journal-title":"ACM SIGMOD Record"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Industrial Design"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-51194-4_132","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T08:30:17Z","timestamp":1594110617000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-51194-4_132"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030511937","9783030511944"],"references-count":4,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-51194-4_132","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"8 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AHFE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applied Human Factors and Ergonomics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Diego, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","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":"16 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ahfe2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ahfe2020.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}