Detecting Falls Using Accelerometers by Adaptive Thresholds in Mobile Devices

Provided by: Academy Publisher
Topic: Mobility
Format: PDF
In this paper, the authors presented an effective and efficient algorithm on adaptive thresholds to automatically recognize falls from acceleration signals collected by a single tri-axial accelerometer in a mobile phone. Initial thresholds depend mainly on their carrying position of mobile phones, and then are adjusted automatically by a self-learning process and a classification module. Their researches are designed for carrying phones in casual ways which has not been done in previous researches. An android-based software is designed for experiments and the results show the efficiency of their method and improvements have been made on detection accuracy after having the learning process.

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