{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T12:08:45Z","timestamp":1761480525446,"version":"build-2065373602"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819520978"},{"type":"electronic","value":"9789819520985"}],"license":[{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"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\/978-981-95-2098-5_11","type":"book-chapter","created":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T12:00:05Z","timestamp":1761480005000},"page":"129-142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mamdani Fuzzy Assessment System for\u00a0Oral Motor Exercise Tasks"],"prefix":"10.1007","author":[{"given":"Chyan Zheng","family":"Siow","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingwei","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adnan Rachmat Anom","family":"Besari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naoyuki","family":"Kubota","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"issue":"1","key":"11_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s10033-019-0389-8","volume":"32","author":"D Shi","year":"2019","unstructured":"Shi, D., Zhang, W., Zhang, W., Ding, X.: A review on lower limb rehabilitation exoskeleton robots. Chin. J. Mech. Eng. 32(1), 1\u201311 (2019)","journal-title":"Chin. J. Mech. Eng."},{"issue":"6","key":"11_CR2","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.20965\/jaciii.2024.p1240","volume":"28","author":"T Sekiguchi","year":"2024","unstructured":"Sekiguchi, T., Obo, T., Matsuda, T., Kubota, N.: Structural coupling system for cognitive modeling in immersive VR assessment tasks. J. Adv. Comput. Intell. Intell. Inf. 28(6), 1240\u20131250 (2024)","journal-title":"J. Adv. Comput. Intell. Intell. Inf."},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Morley, J.E.: Oral frailty, pp. 683\u2013684 (2020)","DOI":"10.1007\/s12603-020-1438-9"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Nojima, Y.,\u00a0Kawano, K.,\u00a0Shimahara, H.,\u00a0Vernon, E.,\u00a0Masuyama, N.,\u00a0Ishibuchi, H.: Fuzzy classifiers with a two-stage reject option. In: 2023 IEEE International Conference on Fuzzy Systems (FUZZ), pp. 1\u20136. IEEE (2023)","DOI":"10.1109\/FUZZ52849.2023.10309729"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Siow, C.Z.,\u00a0Dou, W.,\u00a0Song, Q.,\u00a0Chuquirachi, F.,\u00a0Obo, T.,\u00a0Kubota, N.: Use k-means-generated nodes to distinguish learned from non-learned exercises. In: IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society, pp. 1\u20136. IEEE (2023)","DOI":"10.1109\/IECON51785.2023.10312453"},{"issue":"1","key":"11_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0020-7373(75)80002-2","volume":"7","author":"EH Mamdani","year":"1975","unstructured":"Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud. 7(1), 1\u201313 (1975)","journal-title":"Int. J. Man Mach. Stud."},{"key":"11_CR7","unstructured":"Lugaresi, C., et\u00a0al.: Mediapipe: a framework for building perception pipelines. arXiv preprint arXiv:1906.08172 (2019)"},{"issue":"6","key":"11_CR8","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1109\/21.199466","volume":"22","author":"L-X Wang","year":"1992","unstructured":"Wang, L.-X., Mendel, J.M.: Generating fuzzy rules by learning from examples. IEEE Trans. Syst. Man Cybern. 22(6), 1414\u20131427 (1992)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Siow, C.Z., Chin, W.H., Kubota, N.: Evaluating simple exercises with a fuzzy system based on human skeleton poses. In: IEEE International Conference on Fuzzy Systems (FUZZ) 2023, pp. 1\u20136 (2023)","DOI":"10.1109\/FUZZ52849.2023.10309722"},{"key":"11_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.112055","volume":"165","author":"Z Liu","year":"2024","unstructured":"Liu, Z., Zhang, W., Pan, M., Loo, C.K., Pasupa, K.: Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction. Appl. Soft Comput. 165, 112055 (2024)","journal-title":"Appl. Soft Comput."},{"issue":"6","key":"11_CR11","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1109\/TFUZZ.2003.819839","volume":"11","author":"L-X Wang","year":"2003","unstructured":"Wang, L.-X.: The WM method completed: a flexible fuzzy system approach to data mining. IEEE Trans. Fuzzy Syst. 11(6), 768\u2013782 (2003)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"11_CR12","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ins.2020.10.018","volume":"551","author":"Y Zhai","year":"2021","unstructured":"Zhai, Y., Lv, Z., Zhao, J., Wang, W., Leung, H.: Data-driven inference modeling based on an on-line wang-mendel fuzzy approach. Inf. Sci. 551, 113\u2013127 (2021)","journal-title":"Inf. Sci."},{"issue":"5","key":"11_CR13","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1109\/TFUZZ.2022.3202348","volume":"31","author":"G Acampora","year":"2023","unstructured":"Acampora, G., Schiattarella, R., Vitiello, A.: On the implementation of fuzzy inference engines on quantum computers. IEEE Trans. Fuzzy Syst. 31(5), 1419\u20131433 (2023)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"8","key":"11_CR14","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1109\/TFUZZ.2021.3113561","volume":"30","author":"A Pourabdollah","year":"2022","unstructured":"Pourabdollah, A., Acampora, G., Schiattarella, R.: Fuzzy logic on quantum annealers. IEEE Trans. Fuzzy Syst. 30(8), 3389\u20133394 (2022)","journal-title":"IEEE Trans. Fuzzy Syst."}],"container-title":["Lecture Notes in Computer Science","Intelligent Robotics and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-2098-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T12:00:10Z","timestamp":1761480010000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-2098-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"ISBN":["9789819520978","9789819520985"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-2098-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"27 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Robotics and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Okayama","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"6 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icira2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icira2025.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}