A Healthcare System for Detection and Analysis of Daily Activity Based on Wearable Sensor and Smartphone

Abstract

The growing number of elderly citizens living alone increases demands on healthcare and independent living support. An effective and convenient activity detection system plays an important role in healthcare services. In this research, a system of learning living status is provided through detecting daily activities using a finger-worn device and sharing information to supporter's smartphone. Three main issues are discussed in the research including action recognition, activity attributes analysis, and information delivery. Five actions and ten kinds of daily activities are defined and analyzed by the system. Experimental results show the effectiveness and convenience of the system in living status detection and sharing for person healthcare.