Decision making in assistive environments using multimodal observations

Abstract

An assistive environment is a smart domestic space based on pervasive computing to support the elderly and disabled. Unlike sensors, which can only provide passive monitoring, a robot can be an active element to improve the quality of life for the human. In this paper, we propose an active service of the robot in assistive environments, to help human in the case of emergency situation. It works on a hierarchical partially observable Markov decision process (POMDP). The multimodal observation series are used in the decision and evaluation process.