A comparative study of smart insole on real-world step count

2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)(2015)

引用 13|浏览15
暂无评分
摘要
Daily step count is an important parameter in energy expenditure estimation, medical treatment, and rehabilitation. However, traditional step count methods are not user-friendly or require adhesive equipment. In this paper, we present our Smart Insole system design and evaluate its step count performance. Smart Insole is lightweight, thin, and convenient to use, providing an unobtrusive way to perform step counting. The Smart Insole step count method is based on the differential value threshold of the average plantar pressure obtained from the ambulatory gait assessment. We perform a set of real-world experiments considering different arm positions, walking styles, and daily life activities to evaluate the step count performance. The results show Smart Insole can achieve nearly 100% accuracy in step count under various circumstances, which outperforms other existing solutions.
更多
查看译文
关键词
real-world step count,energy expenditure estimation,medical treatment,rehabilitation,smart insole system design,differential value threshold,average plantar pressure,ambulatory gait assessment,arm positions,walking styles,daily life activities,step count performance
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要