1P1-C01 下肢筋群筋電データ分析に基づく自転車の最適なシート高さ自動探索システムに関する研究

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  • 1P1-C01 Automatic system for the setting of a bicycle seat height based on analyzing the lower electromyography

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Road racer that is used for bicycle competition on road has been getting more popular all over the world year after year. This type of bicycle has to be set the position for rider's physical properties in order to make it possible to ride powerfully and conformably. There are lots of degrees of freedoms for setting the bicycle position. Though each of them have effects for rider's performance, the setting of a seat height significantly affects user's performance during competition and/or training. Before now, any effective setting method for bicycle seat height associated with rider's physical properties had not been reported. Then we aims to propose a new setting method for bicycle position based on rider's physical properties. We focused on the lower electromyography during cycling exercise in order to define a new evaluate standard for bicycle position. This study had constructed an automatic seat height control system and defined a new evaluation standard for bicycle position in our previous work. In this paper, we introduce a control method by using Fuzzy inference and discuss about the experimental results.

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