A monitoring, modeling, and interactive recommendation system for in-home caregivers: demo abstract
A monitoring, modeling, and interactive recommendation system for in-home caregivers: demo abstract
复制标题
针对家庭护理人员的监控、建模和交互式推荐系统：演示摘要
DOI：
10.1145/3384419.3430422
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
J. Stankovic
中科院分区：
文献类型：
--
作者：
Ye Gao;Meiyi Ma;Kristin D. Gordon;K. Rose;Hongning Wang;J. Stankovic
家庭照顾者经常报告焦虑和抑郁增加。为了改善居家患者与照顾者之间的互动，并减少照顾者的压力，我们建立了一个监测，建模和互动推荐系统的照顾者在家中痴呆患者的护理。该系统包括通过语音监测情绪，构建在现实家庭环境中工作的分类器，以及支持自适应推荐系统以减轻护理人员的压力。此演示展示了我们的系统如何通过几个场景在实践中支持护理人员。
Family caregivers often report increased anxiety and depression. In order to improve the interactions between in-home patients and caregivers, and reduce strain on caregivers, we build a monitoring, modeling, and interactive recommendation system for caregivers for in-home dementia patient care. The system includes monitoring for mood by speech, building classifiers that work in realistic home settings, and supporting an adaptive recommendation system to reduce stress of the caregiver. This demo shows how our system supports caregivers in practice through several scenarios.
DOI：
10.1145/3209978.3210051
发表时间：
2018-05
期刊：
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
影响因子：
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作者：
Qingyun Wu;Naveen Iyer;Hongning Wang
通讯作者：
Qingyun Wu;Naveen Iyer;Hongning Wang