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Advisor(s)
Abstract(s)
In this project we present an intelligent fall detector system based on a 3-axis accelerometer and a
neural network model that allows recognizing severaI possible motion situations and performing an
emergency call only when a fall situation occurs, with low false negatives rate and low false positives
rate. The system is based on a two module platform. The first one is a Mobile station (MS) and should
be carried always by the person. An accelerometer is implemented in this module and its information is
transferred via a radio-frequency channel (RF) to the Base station (BS). The BS is fixed and is connected
to a GSM (Global system for Mobile communication) module. A neural network model was built in to the
BS and is able to identify falls from other possible motion situations, based on the received information.
According to the neural network response the system sends a SMs (short Message service) to a
destination number requesting for assistance.
Description
Keywords
Citation
Rodrigues, Pedro J.; Amaral, Joana S.; Igrejas, Getúlio (2010). A neural network based fall detector. In Book of Abstracts RECPAD 2010. Vila Real, Portugal