A Behavior Normalization Method to Enable Comparative Understanding of the Elderly’s Interaction with Consumer Products using a Behavior Video Database
Consumer product safety for dementia sufferers is a global problem. To develop products that can be safely used by elderly people with degradation of physical and cognitive functions (e.g., people with dementia), it is necessary to measure the product use behavior of elderly people using them in various environments and quantitatively analyze behavioral changes during product use due to changes in the functions. Recent developments in smart home technology are opening a new path for quantifying the behavior of elderly people in daily environments. This proposes a new method for comparative understanding of the elderly’s interactions with consumer products. The method employs three functions: robust pose estimation, behavior normalization method, and clustering. This paper also describes the evaluation of the developed functions and report their application to analyzing an elderly behavior library, which is an RGB-D database for elderly product use in daily environments.
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