A keyhole plan recognition model for Alzheimer's patients: First results

被引：40
作者：
Bouchard, Bruno
Giroux, Sylvain
Bouzouane, Abdenour
机构：
[1] Univ Sherbrooke, Dept Informat, Quebec City, PQ J1K2RI, Canada
[2] Univ Quebec, Quebec City, PQ, Canada
来源：
APPLIED ARTIFICIAL INTELLIGENCE | 2007年 / 21卷 / 07期
基金：
加拿大创新基金会; 加拿大自然科学与工程研究理事会;
关键词：
D O I：
10.1080/08839510701492579
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article addresses the problem of recognizing the behavior of a person suffering from Alzheimer's disease at early- intermediate stages. We present a keyhole plan recognition model, based on lattice theory and action description logic, which transforms the recognition problem into a classification issue. This approach allows us to formalize the plausible incoherent intentions of the patient, resulting from the symptoms of his cognitive impairment, such as disorientation, memory lapse, etc. An implementation of this model was tested in our smart home laboratory, by simulating a set of real case scenarios.
引用
收藏
页码：623 / 658
页数：36
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