{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:13:08Z","timestamp":1760231588442,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T00:00:00Z","timestamp":1664236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Science Foundation of China","doi-asserted-by":"publisher","award":["61906051","62267001","2018GXNSFBA050029","GUTQDJ2005015"],"award-info":[{"award-number":["61906051","62267001","2018GXNSFBA050029","GUTQDJ2005015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Guangxi Natural Science Foundation Program","award":["61906051","62267001","2018GXNSFBA050029","GUTQDJ2005015"],"award-info":[{"award-number":["61906051","62267001","2018GXNSFBA050029","GUTQDJ2005015"]}]},{"name":"the Foundation for Doctoral Research of Guilin University of Technology","award":["61906051","62267001","2018GXNSFBA050029","GUTQDJ2005015"],"award-info":[{"award-number":["61906051","62267001","2018GXNSFBA050029","GUTQDJ2005015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In MOOC learning, learners\u2019 emotions have an important impact on the learning effect. In order to solve the problem that learners\u2019 emotions are not obvious in the learning process, we propose a method to identify learner emotion by combining eye movement features and scene features. This method uses an adaptive window to partition samples and enhances sample features through fine-grained feature extraction. Using an adaptive window to partition samples can make the eye movement information in the sample more abundant, and fine-grained feature extraction from an adaptive window can increase discrimination between samples. After adopting the method proposed in this paper, the four-category emotion recognition accuracy of the single modality of eye movement reached 65.1% in MOOC learning scenarios. Both the adaptive window partition method and the fine-grained feature extraction method based on eye movement signals proposed in this paper can be applied to other modalities.<\/jats:p>","DOI":"10.3390\/s22197321","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T03:30:37Z","timestamp":1664335837000},"page":"7321","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Research on Emotion Recognition Method Based on Adaptive Window and Fine-Grained Features in MOOC Learning"],"prefix":"10.3390","volume":"22","author":[{"given":"Xianhao","family":"Shen","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jindi","family":"Bao","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaomei","family":"Tao","sequence":"additional","affiliation":[{"name":"Guangxi Key Lab of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ze","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Guilin University of Technology, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Riel, J., and Lawless, K.A. 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