Bracelet-based Monitoring and Analysis Tool for Daily Life Behaviors

Abstract

As China’s economy develops and people’s attitudes change, the birth rate of newborns in China is decreasing year by year, but the population over 65 is increasing year by year. China is moving towards an aging society. The problem of providing for the aged is gradually becoming a national problem. Faced with such a social problem, we want to solve such a problem through the development of science and technology. In response to the fall of an elderly person and the fact that he was left unattended, This paper presents a monitoring and analysis tool of daily life behavior based on bracelet, The tool collects data about the human body through a bracelet sensor, The machine learning algorithm is used to recognize the human motion behavior, and then the neighboring people or relatives are notified by alarms or text messages, so as to achieve the effect of guardianship, which not only avoids the elderly falling unnoticed, but also reduces the difficulty of guardianship without watching all the time.