Smart Helmet for Fall

Abstract

This paper describes a new embedded system, called smart helmet, for the detection of unexpected falls for the people who drives motor cycle. In combination with a new sensors system and the monitoring of its own rotation, Tilt sensor is able to detect a fall in its very beginning. It is thus able to initiate some emergency actions, such as inflating a tiny airbag, in order to alleviate a fall's consequences, primarily potential injuries. In that respect,this helmet is unique. It's physical properties, such as size, weight, and energy resources; make it almost invisible, so that it can be worn at any time at any occasion by any person. Data from the sensor is evaluated with several threshold-based algorithms and position data to determine a fall, taking into account factors such as height, weight, and level of activity of the user. When a fall is detected a notification is raised requiring the user to respond. For elderly people, unexpected falls can be a major problem, since they often go along with severe injuries, such as femoral neck fractures. Obviously, the integration of location awareness and fall detection technologies fulfills the requirements of delivering critical information to relative professions and improve the medical care quality.