The Development of Step Count Detection Algorithm using Self-paced Treadmill
- Title
- The Development of Step Count Detection Algorithm using Self-paced Treadmill
- Author(s)
- Lee, Hyun Ju ; Bak, Seong Ho ; Kang, Tae Hun ; Moon, Jeon Il
- Issued Date
- 2017-10-20
- Citation
- 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.
- Publisher
- ICROS
- Related Researcher
-
-
Kang, Tae Hun
- Research Interests
-
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Division of Intelligent Robotics 2. Conference Papers
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.