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dc.contributor.authorLyu, Mei-Jingen_US
dc.contributor.authorYuan, Shyan-Mingen_US
dc.date.accessioned2020-07-01T05:21:18Z-
dc.date.available2020-07-01T05:21:18Z-
dc.date.issued2020-01-01en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2020.2969482en_US
dc.identifier.urihttp://hdl.handle.net/11536/154380-
dc.description.abstractThere is currently no cure for Alzheimer & x2019;s disease, leaving patients to rely solely on good quality care services to prolong their life. Besides, it has been found that the onset of pneumonia can accelerate the progression of dementia and even lead to death. This has led to an increased caregiving burden and a level of emotional stress among caregivers that can be unbearable. The aim of this study was to build a Smart Dog music therapy and pneumonia detection system, which combines a robotic dog, cloud technology, a multi-agent system, an adaptive network-based fuzzy inference system (ANFIS), a web application, and sensor technology to deliver care for patients with Alzheimer & x2019;s disease and help mitigate the difficulties faced by caregivers. Interviews were conducted with caregivers following the use of the system to determine its usefulness in caregiving work and whether it improved their overall caregiving experience. A majority of the interviewed caregivers agreed that the system brought about improvements.en_US
dc.language.isoen_USen_US
dc.subjectDementiaen_US
dc.subjecthealthcareen_US
dc.subjectsensoren_US
dc.subjectadaptive network-based fuzzy inference systemen_US
dc.subjectmusicen_US
dc.subjectpneumoniaen_US
dc.titleCloud-Based Smart Dog Music Therapy and Pneumonia Detection System for Reducing the Difficulty of Caring for Patients With Dementiaen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2020.2969482en_US
dc.identifier.journalIEEE ACCESSen_US
dc.citation.volume8en_US
dc.citation.spage20977en_US
dc.citation.epage20990en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000525391900032en_US
dc.citation.woscount1en_US
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