Guardian angel: the wheelchair fall detection system for the eldery and disabled individuals / Arieanna Nadtasya Dalizan

Based on data obtained from LGRS-TUA longitudinal study, In Malaysia, the frequency of falls and recurrent falls among the elderly population was approximately 8.5 and 3.2 per 100 person-years, respectively. As our elderly loved one’s age, it becomes more important to watch out for their health and wellbeing. Falling is one of the main causes of medical issues that older adults and those with movement impairments deal with, according to the data above. A fall can have a variety of effects, such as cuts, fractures, and in rare circumstances, even fatalities. The likelihood of death from the accident is increased by the extended wait for help on the floor, even in the absence of any immediate effects. Consequently, what would happen if an old person fell out of their wheelchair and was unable to call for help from others nearby or shout louder? This would not be an uncommon circumstance, as many old persons find themselves in dangerous situations without understanding what is happening to them. However, the cost of operation and installation is expensive, and some people can’t afford. A fall detection system that is dependable and reasonably priced was suggested in this project to identify those in need of assistance. By employing the accelerometer and gyroscope sensors. When someone falls, the accelerometer and gyroscope sensors can detect it and send us a message on our phone alerting us to the situation so we can come to their aid. The goal of this project is to create an intelligent and efficient fall detection and alarm system using the Internet of Things, an accelerometer, a gyroscope sensor, and a push button. It also intends to monitor elderly and disabled individuals for fall detection and sudden changes in wheelchair mobility