V. Moshnyaga, Tanaka Osamu, Toshin Ryu, Akira Hayashida, D. Sakamoto, Yukimuchi Imai, Takuma Shibata
{"title":"An intelligent system for assisting family caregivers of dementia people","authors":"V. Moshnyaga, Tanaka Osamu, Toshin Ryu, Akira Hayashida, D. Sakamoto, Yukimuchi Imai, Takuma Shibata","doi":"10.1109/CICARE.2014.7007838","DOIUrl":null,"url":null,"abstract":"Caregiving a person suffering from dementia or loss of brain cognitive ability due to aging is a big physical, mental and emotional burden to family members. In this paper we present a novel system for assisting caregivers at home. The system employs heterogeneous sensing and artificial intelligence technologies to automatically and unobtrusively monitor the patient; assess possible risks that the patient may face in current situation; and alert the caregiver on emergency by delivering video, audio and text to his mobile phone or PC. We discuss the system architecture and technologies applied for sensing, communication, assessment and user-interface, and present a prototype system implementation.","PeriodicalId":120730,"journal":{"name":"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICARE.2014.7007838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Caregiving a person suffering from dementia or loss of brain cognitive ability due to aging is a big physical, mental and emotional burden to family members. In this paper we present a novel system for assisting caregivers at home. The system employs heterogeneous sensing and artificial intelligence technologies to automatically and unobtrusively monitor the patient; assess possible risks that the patient may face in current situation; and alert the caregiver on emergency by delivering video, audio and text to his mobile phone or PC. We discuss the system architecture and technologies applied for sensing, communication, assessment and user-interface, and present a prototype system implementation.