This project is to develop an intelligent and personalized wearable airbags to reduce the impact force of falls among the elder people .
Along with this increase, the proportion of elderly people who are frail and dependent is also likely to rise significantly given that falls and fall-induced fractures are very common among the oldsters, this shift in demographic patterns will lead to an exponential increase in the number of oldsters individuals who suffer injuries from falls.
Hip fractures account for most of the costs associated with falls and fall-induced fractures, especially among elder people.
Initially, the airbag is compressed inside a belt. When an elderly person loses his or her balance, the MEMS microsensors in the belt detect his or her disorientation and trigger the inflation of the airbag on the appropriate side a few milliseconds before the person falls to the ground.
When a person is falling and the angular velocity is larger than a given value, the sensor module triggers the CO cylinder to release air and inflate the airbag. It can clearly be seen that the airbag is inflated before the person falls to the ground, which provides hip protection
Micro-electromechanical systems (MEMS) are Freescale's enabling technology for acceleration and pressure sensors. MEMS based sensor products provide an interface that can sense, process or control the surrounding environment. MEMS-based sensors are a class of devices that builds very small electrical and mechanical components on a single chip. MEMS-based sensors are a crucial component in automotive electronics, medical equipment, hard disk drives, computer peripherals, wireless devices and smart portable electronics such as cell phones and PDAs.
EMS technology provides the following advantages: cost-efficiency, low power, miniaturization, high performance, and integration. Functionality can be integrated on the same silicon or in the same package, which reduces the component count. This contributes to overall cost savings
Hence with this project we can save the oldsters people from the fall detection and also to monitor the activity.