Abstract | ||
---|---|---|
At present, commercially available bicycles have various sizes of frame to suit the user’s physical size, and the positions
of both the saddle and the handlebars can be altered, but there is a lack of interest in the importance of the rider’s position
when riding the bicycle in relation to their physical properties. Adjusting the rider’s position on the cycle on the basis
of their physical properties before the exercise makes it possible to improve its efficiency. In this article, we develop
an automatic saddle height-control system for cycle exercise, and present a useful method of determining cycling posture with
the use of physical information. This system is composed of a computer, an electromyographic measurement device, and a fixed
cycle trainer. In particular, in order to give the fixed cycle trainer a degree of freedom depending on the direction of the
seat tube, we designed and built a device to control the height of the saddle. This article explains the structure of the
system, introduces our data processing method, and discusses the results of our experiments. We then give an evaluation of
the standard cycling posture for different settings of saddle height based on a quantitative evaluation method, principal
component analysis. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/s10015-009-0642-9 | Artificial Life and Robotics |
Keywords | DocType | Volume |
electromyography · fast fourier transforma- tion · posture optimization · cycle exercise · information processing,Electromyography,Fast Fourier transformation,Posture optimization,Cycle exercise,Information processing | Journal | 14 |
Issue | ISSN | Citations |
2 | 1614-7456 | 1 |
PageRank | References | Authors |
0.63 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shimpei Matsumoto | 1 | 10 | 9.77 |
Tatsushi Tokuyasu | 2 | 17 | 13.36 |
Keichi Ohba | 3 | 2 | 1.25 |