{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T01:57:42Z","timestamp":1768010262131,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3765766.3765838","type":"proceedings-article","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T14:07:31Z","timestamp":1767362851000},"page":"476-478","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel EEG Signal-to-Image Method for the Learning-Type Fuzzy Template Matching Method, based on multi-resolution integrated images"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8124-5112","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Human-System Interaction, School of Science and Technology, Kwansei Gakuin University, Sanda, Hyogo, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0187-9913","authenticated-orcid":false,"given":"Suguru N","family":"Kudoh","sequence":"additional","affiliation":[{"name":"Department of Human-System Interaction, School of Science and Technology, Kwansei Gakuin University, Sanda, Hyougo, Japan"}]}],"member":"320","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Seyyed\u00a0Abed Hosseini and Mohammad\u00a0Bagher Naghibi-Sistani. 2011. Emotion Recognition Method Using Entropy Analysis of EEG Signals. International Journal of Image Graphics and Signal Processing 3 5 (2011) 36\u201344.","DOI":"10.5815\/ijigsp.2011.05.05"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Sander Koelstra Christian Muhl Mohammad Soleymani Jong-Seok Lee Ashkan Yazdani Touradj Ebrahimi et\u00a0al. 2011. DEAP: A Database for Emotion Analysis Using Physiological Signals. IEEE Transactions on Affective Computing 3 1 (2011) 18\u201331.","DOI":"10.1109\/T-AFFC.2011.15"},{"key":"e_1_3_3_1_4_2","unstructured":"L. Li. 2014. Emotion Recognition Based on Sample Entropy of EEG (in Chinese). Ph.\u00a0D. Dissertation. Taiyuan University of Technology Taiyuan China."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/CITISIA.2009.5224237"},{"key":"e_1_3_3_1_6_2","unstructured":"Dan Nie Xiao-Wei Wang Ruo-Nan Duan and Bao-Liang Lv. 2012. A Survey on EEG Based Emotion Recognition (in Chinese). Chinese Journal of Biomedical Engineering 31 4 (2012) 595\u2013606."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/IFSA-SCIS.2017.8023260"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Teruo Oda and Suguru\u00a0N. Kudoh. 2020. Development of the Heuristic BCI System with Learning-Type Fuzzy Template Matching Method (in Japanese). Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 32 3 (2020) 737\u2013745.","DOI":"10.3156\/jsoft.32.3_737"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACII.2009.5349513"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Norihiko Saga Atsushi Doi Teruo Oda and Suguru\u00a0N. Kudoh. 2021. Elucidation of EEG Characteristics of Fuzzy Reasoning-Based Heuristic BCI and Its Application to Patient with Brain Infarction. Frontiers in Neurorobotics (2021). 10.3389\/fnbot.2020.607706","DOI":"10.3389\/fnbot.2020.607706"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.14864\/fss.36.0247"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"K.\u00a0E.\u00a0C. Vidyasagar K.\u00a0Revanth Kumar G.\u00a0N. K.\u00a0Anantha Sai Munagala Ruchita and Manob\u00a0Jyoti Saikia. 2024. Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review. IEEE Access 12 (January 2024). 10.1109\/ACCESS.2024.3399114","DOI":"10.1109\/ACCESS.2024.3399114"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"Dong Wen Yali Fan Sheng-Hsiou Hsu Jian Xu Yanhong Zhou Jianxin Tao Xifa Lan and Fengnian Li. 2021. Combining Brain-Computer Interface and Virtual Reality for Rehabilitation in Neurological Diseases: A Narrative Review. Annals of Physical and Rehabilitation Medicine 64 1 (January 2021) 18\u201331. 10.1016\/j.rehab.2020.03.015","DOI":"10.1016\/j.rehab.2020.03.015"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Annika Wiebe Kyra Kannen Benjamin Selaskowski Aylin Mehren Ann-Kathrin Th\u00f6ne Lisa Pramme Nike Blumenthal Mengtong Li Laura Asch\u00e9 Stephan Jonas Katharina Bey Marcel Schulze Maria Steffens Max\u00a0Christian Pensel Matthias Guth Felicia Rohlfsen Mogda Ekhlas Helena L\u00fcgering Helena Fileccia Julian Pakos Silke Lux Alexandra Philipsen and Niclas Braun. 2022. Virtual Reality in the Diagnostic and Therapy for Mental Disorders: A Systematic Review. Clinical Psychology 98 (December 2022). 10.1016\/j.cpr.2022.102213","DOI":"10.1016\/j.cpr.2022.102213"},{"key":"e_1_3_3_1_15_2","unstructured":"Chai\u00a0Tong Yuen Woo\u00a0San San Mohamed Rizon and Tan\u00a0Ching Seong. 2009. Classification of Human Emotions from EEG Signals Using Statistical Features and Neural Network. International Journal of Integrated Engineering 1 3 (2009) 71\u201379."}],"event":{"name":"HAI '25: International Conference on Human-Agent Interaction","location":"Yokohama Japan","acronym":"HAI '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 13th International Conference on Human-Agent Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3765766.3765838","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T19:18:18Z","timestamp":1767986298000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3765766.3765838"}},"subtitle":["EEG-StI-Method by the L-FTM Method and Hybrid Image"],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":14,"alternative-id":["10.1145\/3765766.3765838","10.1145\/3765766"],"URL":"https:\/\/doi.org\/10.1145\/3765766.3765838","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2026-01-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}