Motion-Recognition System with Dual-Processor Using Threshold-Based Algorithm
文献类型：会议论文
| 作者 | Guoru Zhao; Yunkun Ning; Cuiju Xiong; Weimin Xiong; Huiqi Li |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | 上海 |
| 英文摘要 | 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. |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14498]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Guoru Zhao,Yunkun Ning,Cuiju Xiong,et al. Motion-Recognition System with Dual-Processor Using Threshold-Based Algorithm[C]. 见:. 上海. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
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