POSSIBILISTIC ACTIVITY RECOGNITION IN SMART HOMES FOR COGNITIVELY IMPAIRED PEOPLE

被引：23
|
作者：
Roy, Patrice C. [1 ]
Bouzouane, Abdenour [2 ]
Giroux, Sylvain [1 ]
Bouchard, Bruno [2 ]
机构：
[1] Univ Sherbrooke, Lab Domus, Sherbrooke, PQ J1K 2R1, Canada
[2] Univ Quebec Chicoutimi, LIARA Lab, Chicoutimi, PQ, Canada
来源：
APPLIED ARTIFICIAL INTELLIGENCE | 2011年 / 25卷 / 10期
基金：
加拿大自然科学与工程研究理事会;
关键词：
PLAN RECOGNITION; SYSTEM; LOGIC;
D O I：
10.1080/08839514.2011.617248
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to maintain and improve the quality of life in the homes of people with dementia, we must elaborate assistive technologies that will alleviate the effects of cognitive decline, such as those erroneous behaviors associated with carrying on activities of daily living (ADL). In order to provide adequate assistive services at the opportune moment, it is necessary to recognize the occupant behavior from sensor events of the smart home. To address this challenge, this paper presents a formal model of activity recognition in smart homes based on possibility theory and environmental contexts. This activity recognition model is able to take into account coherent and erroneous behaviors that may result from the cognitive decline of the occupant. An implementation of this model was validated in a smart home laboratory with valid sensor data from coherent and erroneous realizations of an ADL scenario.
引用
收藏
页码：883 / 926
页数：44
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