Robot-enabled support of daily activities in smart home environments

被引：60

作者：

Wilson, Garrett ^{[1
]}

Pereyda, Christopher ^{[1
]}

Raghunath, Nisha ^{[1
]}

de la Cruz, Gabriel ^{[1
]}

Goel, Shivam ^{[1
]}

Nesaei, Sepehr ^{[1
]}

Minor, Bryan ^{[1
]}

Schmitter-Edgecombe, Maureen ^{[1
]}

Taylor, Matthew E. ^{[1
]}

Cook, Diane J. ^{[1
]}

机构：

[1] Washington State Univ, Pullman, WA 99164 USA

来源：

COGNITIVE SYSTEMS RESEARCH | 2019年 / 54卷

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

Smart homes; Activity learning; Robot assistance; INSTRUMENTAL ACTIVITIES; ACTIVITY RECOGNITION; MCI; DEMENTIA;

D O I：

10.1016/j.cogsys.2018.10.032

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Smart environments offer valuable technologies for activity monitoring and health assessment. Here, we describe an integration of robots into smart environments to provide more interactive support of individuals with functional limitations. RAS, our Robot Activity Support system, partners smart environment sensing, object detection and mapping, and robot interaction to detect and assist with activity errors that may occur in everyday settings. We describe the components of the RAS system and demonstrate its use in a smart home testbed. To evaluate the usability of RAS, we also collected and analyzed feedback from participants who received assistance from RAS in a smart home setting as they performed routine activities. (C) 2018 Elsevier B.V. All rights reserved.

引用

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页码：258 / 272

页数：15

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