An analysis of daily-living behavior is an important approach to assess the wellbeing of an elderly person that lives at home alone. This study focuses on approaches to monitoring an individual in the home environment by an ambient-intelligence system in order to detect anomalies in daily-living patterns. We propose a method that is based on transforming the sequence of posture and spatial information using a novel matrix presentation to extract spatial-activity features. Experiments indicate that the proposed algorithm successfully discriminates between the daily behavior patterns of a healthy person and those with health problems.

Relevant papers:
B. Kaluža and M. Gams. Analysis of Daily-Living Dynamics. Journal of Ambient Intelligence and Smart Environments, 4(5):403-413, 2012. [pdf | DOI]