Fall Detection
- 1 minProject is under construction
Falls are a major health problem nowadays, since they are the leading cause of injury and hospital admission among seniors. In 2010, 71.2% of emergency department visits among persons aged 65 years and older were related to falls, where as for the total population the percentage was 35.7.i This has caused an interest shift to fall detection applications that can effectively identify falls and alert all interested parties.
This work being developed with Lefteris Skandalellis is focused on creating a complete and realistic solution to fall detection. We create an Android Application that can be run on an android smart-device that sends data into an integrated server. The server collects the data and uses them into a threshold based fall detection algorithm to identify potentially dangerous situations. The alerts are then forwarded to the interested individual’s smart phone. Special focus is given in creating a lightweight client in order to be able to prolong smart-device’s battery life, since constant sensor data collection significantly contribute to the total power consumption of the device.
Check out the server side here and the client side here .
If you need some help/have some feedback to share, just tell us.
Please note that this project is still under construction and in no way a complete product (yet!).
Angelos Valsamis
Obsessive Coffe Drinker