Novel fall detection algorithm for the elderly people

A fall is mainly due to faint (or) syncope so on performing the faint detection we can decrease the rate of bone being fractured in elders. Also falls are a major public health problem among older people; the number of systems aimed at detecting them has increased dramatically over recent years. This work presents the usage of accelerometers for fall detection along with pressure sensors and heart rate monitor to determine the reason for the fall. It aims to be a supportive device for the elderly people. We have also identified challenges regarding performance under real-life conditions, usability and user acceptance as well as issues related to power consumption, real-time operations, sensing limitations, privacy. There are two modules one is measuring unit and another is the detecting unit. The sensing unit measures the continuous heart rate and blood pressure thereby to determine the fall and to give a self-alarm. Accelerometer sensor has been used to record and analyze difference between fall and normal motion.