DocumentCode :
1503282
Title :
Activity Density Map Visualization and Dissimilarity Comparison for Eldercare Monitoring
Author :
Wang, Shuang ; Skubic, Marjorie ; Zhu, Yingnan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
Volume :
16
Issue :
4
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
607
Lastpage :
614
Abstract :
In this paper, we present a methodology for analyzing passive infrared motion sensor data logged in the homes of seniors. The objective is to capture activity patterns that represent different health conditions. Recognizing changes in the activity patterns can then be used to provide early detection of health changes. A visualization of motion sensor data is introduced in the form of a density map that uses different colors to show varying levels of activity. For evaluating the activity density level accurately, time away from home is determined first using a system of fuzzy rules. In addition, a dissimilarity between two density maps is computed using texture features for automatically determining changes in activity patterns, which may indicate a health problem. The activity density maps are being used in an aging in place senior housing community to aid clinicians in early illness detection. Three case studies of elderly residents are included to illustrate how the density map and dissimilarity measure can be used to track general activity level and daily patterns over time, showing changes in physical, cognitive, and mental health.
Keywords :
biomechanics; biomedical optical imaging; data visualisation; feature extraction; fuzzy logic; fuzzy reasoning; geriatrics; infrared detectors; medical signal processing; neurophysiology; patient monitoring; physiological models; activity density level; activity density map visualization; activity patterns; cognitive health; dissimilarity comparison; early illness detection; eldercare monitoring; fuzzy rules; health change detection; mental health; passive infrared motion sensor data; physical health; senior housing community; texture features; Biomedical monitoring; Density measurement; Equations; Euclidean distance; Image color analysis; Monitoring; Weight measurement; Co-occurrence matrix (CM); early illness detection; eldercare technology; fuzzy logic; motion density map; Activities of Daily Living; Aged; Computer Communication Networks; Fuzzy Logic; Health Services for the Aged; Humans; Infrared Rays; Monitoring, Ambulatory; Remote Sensing Technology; Reproducibility of Results;
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2012.2196439
Filename :
6189784
Link To Document :
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