Abstract
The design is based on fuzzy control algorithm, which is an elderly tumble detection system using three-axis acceleration sensor as the detector of the elderly tumble detection condition. Based on human acceleration measured by the three-axis acceleration sensor, and the posture change when the aging fell, and acceleration and angle that followed as the foundation, the adaptive neural network is adopted as a membership function to fuzzy correct the threshold of acceleration SVM that have judged. And then we can have a good solution to the judgment of non-qualitative standard problem concerning the tumble, improving the accuracy and reliability of the monitoring. This system mainly includes six modules: the core control module, three axis acceleration sensor module, GPS module, a wireless communication module, alarm module and key input module, and can achieve the function of tumble detection, positioning and remote wireless alarm.
Published Version
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