Indoor Fall Detection Using FPI-Based Accelerometers.

Facing the increasing aging of the world population, it is important to develop new non-invasive systems that do not require any action from the user, allowing their monitoring, with privacy guarantee. This will contribute to diminish the burdens associated with the elderly people care. In this work it is presented a system based on optical fiber Fabry-Perot interferometer (FPI) accelerometers, placed on the floor of an indoor environment, to recognize human falls. Both the sensor production method and the acquisition system are cheaper than commercial ones, available for this purpose. In addition, the proposed system comprises real time data acquisition and processing, representing a promising low-cost solution for the elders indoor monitoring by external entities, by enabling its implementation in apps that alerts the caregivers.