Wafa Ben Taleb, Ahmed Snoun, T. Bouchrika, O. Jemai
{"title":"强化学习对老年痴呆症患者的帮助","authors":"Wafa Ben Taleb, Ahmed Snoun, T. Bouchrika, O. Jemai","doi":"10.1109/CoDIT55151.2022.9804114","DOIUrl":null,"url":null,"abstract":"Alzheimer's disease is a chronic brain disease with multi-factorial causes that begins in the middle of life. It affects the patient in many ways, like the ability to perform daily life activities. In this paper, we proposed an assistance system for Alzheimer's patients to assist them in performing their activities of daily living autonomously. The developed system is based on a human activity recognition system and a prompt system to provide alerts to the patient in case of need. To detect the anomalies in the patient's behavior and provide assistance, we used a reinforcement learning (RL) module as a decision-making system. This module may be responsible for identifying and prompting the patient's wanted assistance based on his or her behavior. The efficiency of the proposed system was proven after testing using the Dem Care dataset.","PeriodicalId":185510,"journal":{"name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Reinforcement Learning for assistance of Alzheimer's disease patients\",\"authors\":\"Wafa Ben Taleb, Ahmed Snoun, T. Bouchrika, O. Jemai\",\"doi\":\"10.1109/CoDIT55151.2022.9804114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Alzheimer's disease is a chronic brain disease with multi-factorial causes that begins in the middle of life. It affects the patient in many ways, like the ability to perform daily life activities. In this paper, we proposed an assistance system for Alzheimer's patients to assist them in performing their activities of daily living autonomously. The developed system is based on a human activity recognition system and a prompt system to provide alerts to the patient in case of need. To detect the anomalies in the patient's behavior and provide assistance, we used a reinforcement learning (RL) module as a decision-making system. This module may be responsible for identifying and prompting the patient's wanted assistance based on his or her behavior. The efficiency of the proposed system was proven after testing using the Dem Care dataset.\",\"PeriodicalId\":185510,\"journal\":{\"name\":\"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CoDIT55151.2022.9804114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoDIT55151.2022.9804114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reinforcement Learning for assistance of Alzheimer's disease patients
Alzheimer's disease is a chronic brain disease with multi-factorial causes that begins in the middle of life. It affects the patient in many ways, like the ability to perform daily life activities. In this paper, we proposed an assistance system for Alzheimer's patients to assist them in performing their activities of daily living autonomously. The developed system is based on a human activity recognition system and a prompt system to provide alerts to the patient in case of need. To detect the anomalies in the patient's behavior and provide assistance, we used a reinforcement learning (RL) module as a decision-making system. This module may be responsible for identifying and prompting the patient's wanted assistance based on his or her behavior. The efficiency of the proposed system was proven after testing using the Dem Care dataset.