Biomimetic Decision Making in a Multisensor Assisted Living Environment

摘要: Various sensors were found adequate to monitor human behavior in natural habitat. Besides metrological factors they adopted specific conditions of unobtrusive acquisition (e.g. an elder or child). An initial approach focused on use a single sensor detect particular event evolved behavioral studies based complex recordings multisensor environments. In such environment different physical principles play complementary role and the resultant detection outperforms any component-based if combines detail information correctly. We follow rules neural modulation sensory system propose biomimetic decision making assisted living environment. our each contributes final accordingly its presumed reliability behavior. Moreover, learns habits, predicts most probable future actions from history anticipates importance sensors.