{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/report-dynamic-eye-movement-matching-and","title":"Report: Dynamic Eye Movement Matching and Visualization Tool in Neuro Gesture","arxiv_id":"1712.09709","date":"2017-12-27","proceeding":null,"authors":["Qiangeng Xu","John Kender"],"abstract":"In the research of the impact of gestures using by a lecturer, one\nchallenging task is to infer the attention of a group of audiences. Two\nimportant measurements that can help infer the level of attention are eye\nmovement data and Electroencephalography (EEG) data. Under the fundamental\nassumption that a group of people would look at the same place if they all pay\nattention at the same time, we apply a method, \"Time Warp Edit Distance\", to\ncalculate the similarity of their eye movement trajectories. Moreover, we also\ncluster eye movement pattern of audiences based on these pair-wised similarity\nmetrics. Besides, since we don't have a direct metric for the \"attention\"\nground truth, a visual assessment would be beneficial to evaluate the\ngesture-attention relationship. Thus we also implement a visualization tool.","url_abs":"http://arxiv.org/abs/1712.09709v2","url_pdf":"http://arxiv.org/pdf/1712.09709v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"report-dynamic-eye-movement-matching-and","repo_url":"https://github.com/Xharlie/Eye-movement-similarity-clustering","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"eeg-1","task_name":"EEG"},{"task_slug":"eeg","task_name":"Electroencephalogram (EEG)"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}