K. Tsiakas, Michalis Papakostas, J. Ford, F. Makedon
{"title":"在物理和认知任务过程中对多模态疲劳分析的任务驱动框架","authors":"K. Tsiakas, Michalis Papakostas, J. Ford, F. Makedon","doi":"10.1145/3266157.3266222","DOIUrl":null,"url":null,"abstract":"This paper outlines the development of a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks. While fatigue is a common symptom across several neurological chronic diseases, such as multiple sclerosis (MS), traumatic brain injury (TBI), cerebral palsy (CP) and others, it remains poorly understood, due to various reasons, including subjectivity and variability amongst individuals. Towards this end, we propose a task-driven data collection framework for multimodal fatigue analysis, in the domain of MS, combining behavioral, sensory and subjective measures, while users perform a set of both physical and cognitive tasks, including assessment tests and Activities of Daily Living (ADLs).","PeriodicalId":151070,"journal":{"name":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Towards a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks\",\"authors\":\"K. Tsiakas, Michalis Papakostas, J. Ford, F. Makedon\",\"doi\":\"10.1145/3266157.3266222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper outlines the development of a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks. While fatigue is a common symptom across several neurological chronic diseases, such as multiple sclerosis (MS), traumatic brain injury (TBI), cerebral palsy (CP) and others, it remains poorly understood, due to various reasons, including subjectivity and variability amongst individuals. Towards this end, we propose a task-driven data collection framework for multimodal fatigue analysis, in the domain of MS, combining behavioral, sensory and subjective measures, while users perform a set of both physical and cognitive tasks, including assessment tests and Activities of Daily Living (ADLs).\",\"PeriodicalId\":151070,\"journal\":{\"name\":\"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3266157.3266222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3266157.3266222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks
This paper outlines the development of a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks. While fatigue is a common symptom across several neurological chronic diseases, such as multiple sclerosis (MS), traumatic brain injury (TBI), cerebral palsy (CP) and others, it remains poorly understood, due to various reasons, including subjectivity and variability amongst individuals. Towards this end, we propose a task-driven data collection framework for multimodal fatigue analysis, in the domain of MS, combining behavioral, sensory and subjective measures, while users perform a set of both physical and cognitive tasks, including assessment tests and Activities of Daily Living (ADLs).
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
