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304An emerging task of the health care system is to provide assisted living to elderly persons and patients suffering from chronic diseases Many neuromuscular disorders have an in creased chance of losing balance which may lead to minor accidents loss of consciousness and heart failure A severe fall may cause serious injuries leading to further complications and even death if immediate and appropriate action is not taken A fall as an event which results in a person coming to rest unintentionally on the ground Since these events involve mo tion and change in position observing certain characteristics of these may provide us with the necessary information to detect falls Many types of sensors can be used to observe motion and position of the elderly and determine if a fall has occurred or not Sudden falls have many consequences among which fracture is the most common injury There is also a certain possibility to get coma brain trauma and paralysis In most of the situations fall is the main source of injury because of the high impact But sometimes the late medical help may worsen the situation That means the faster the help arrives the less risk the elderly will face Now Internet of Things is a reality and it helps devices to configure themselves without the intervention of human beings Progress of various technologies brings more possibil ities to help us protect the elderly
The proposed system uses tri axial accelerometer and tri axial gyroscope sensor When fall event occurs the accelerometer provides valuable information of body inertial change due to the impact Simultaneously the gyroscope provides the unique information of bodys rotational velocity during a fall event A fall event produces both large change of acceleration and angular ve locity These changes are not observed during normal daily activities Thus several thresholds of acceleration and angular velocity could be set to distinguish between fall event and ADL Activities of Daily Living A microcontroller is used for signal acquisition processing control and data transfer The device has nonvolatile memory for recording the sensed data and wireless connectivity A fall detection algorithm applying multiple decomposition and threshold on the acceleration data is implemented on the microcontroller for real time processing The device uses an efficient algorithm with less number of resources and power consumption which means that it is a proper design for fall detection