Motion-recognition system with dual-processor using threshold-based algorithm

Konferenz: BIBE 2018 - International Conference on Biological Information and Biomedical Engineering
06.06.2018 - 08.06.2018 in Shanghai, China

Tagungsband: BIBE 2018

Seiten: 6Sprache: EnglischTyp: PDF

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Ning, Yunkun; Xiong, Weimin; Li, Huiqi; Zhao, Guoru (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)
Xiong, Cuiju (Shenzhen Lachesis Mhealth Co.,Ltd., China)

Due to the decline of physical function, the elderly may suffer from falls which are the major cause ofstroke, paralysis or even death. This paper presents a motion-monitoring device based on MTK+STM32 dual-processor. The device uses GPS/WIFI positioning in order to solve the problem of location in case of different conditions.Low-power mode based on acceleration detection can reduce system power consumption.The algorithm of threshold-based Euler angle and maximum resultant acceleration has been tested to push the accuracy up to about 95%. The experiments show that the current consumption is less than 3mA under the low-power mode. The accuracy of GPS can achieve about 7m. The practice has showed that it can be well implemented to the wearable positive health-protective equipment.