Activity density map dis-similarity comparison for eldercare monitoring.
This paper describes ongoing work in analyzing sensor data logged in the homes of seniors. A visualization of motion sensor data in the form of a density map which uses different colors to show levels of activity was introduced previously. For evaluating changes in activity level and periodicity of life style, we introduce a dis-similarity measurement of density maps based on co-occurrence matrices. The dis-similarity between two density maps is captured using texture features for automatically determining changes in activity patterns. A case study is included to illustrate how the density map can be used to track activity patterns over time.
Wang
Shuang
S
Electrical and Computer Engineering Department, University of Missouri- Columbia, Columbia, MO 65211, USA.
Skubic
Marjorie
M
Zhu
Yingnan
Y
D000203:Activities of Daily Living; D000368:Aged; D001698:Biomedical Engineering; D006299:Health Services for the Aged; D006699:Home Care Services; D006801:Humans; D057187:Independent Living; D008923:Missouri; D018670:Monitoring, Ambulatory / Q000379:methods* / Q000706:statistics & numerical data; D009043:Motor Activity; D010363:Pattern Recognition, Automated; D013686:Telemetry / Q000379:methods* / Q000706:statistics & numerical data