A gray prediction GM(1,1) fall detection signal analysis and implement in wearable device

This paper presented a gray prediction GM(1,1) implement in fall detection signal analysis. The fall detection is a popular research topic in health care fields that combined wearable device real time detection older person situation. Gray prediction GM(1,1) algorithms reinforced person fall signal...

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Bibliographic Details
Main Authors: Chao-Ting Chu, Yung-Sheng Chang
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Algorithm design and analysis
Biomedical monitoring
Medical services
Prediction algorithms
Wireless communication
Wireless sensor networks
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Summary:This paper presented a gray prediction GM(1,1) implement in fall detection signal analysis. The fall detection is a popular research topic in health care fields that combined wearable device real time detection older person situation. Gray prediction GM(1,1) algorithms reinforced person fall signal which detected fall state more quickly. In the experimental results, we used wearable device with BLE (Bluetooth low energy) feedback person signal, in which Gray prediction GM(1,1) algorithms real time detected person fall state and satisfactory output response in wearable device.
ISSN:2150-5942
DOI:10.1109/IMPACT.2016.7800003