The Development of Step Count Detection Algorithm using Self-paced Treadmill
Issued Date
2017-10-20
Citation
Lee, Hyun Ju. (2017-10-20). The Development of Step Count Detection Algorithm using Self-paced Treadmill. ICCAS 2017 International Conference on Control, Automation and Systems.
Type
Conference Paper
Abstract
In this paper, we introduce self-paced treadmill to measure the step count. The proposed treadmill has simple force plate to calculate ZMP (zero moment point) using four single-axis force sensors mounted onto the plate. To determine the step count during walking, we observe the trace of ZMP as mentioned of the experiment result. Even though the algorithm for determination of step count, it shows higher than 99% accuracy during walking.
