Misc

Initial 40-m part of a flight of 120-m jumping after take-off was recorded by a fixed high-speed video camera at a frame rate of 250 frames/sec at Hakuba Ski Jumping Stadium in Japan. Aerodynamic forces were derived from the image data analysis of high-speed video image of ski jumping flight. The time variations of the forward leaning angle and the ski angle of attack were also taken from the video image. Based on these time variation data, we defined the time of the transition to the quasi-steady flight, which may be equivalent to the time for the completion of the initial take-off motion. Some correlations were investigated between the jumping distance and those key angles and the initial transition time. It is found these key data are appropriate measures for the jumping skill.

Physical tacit knowledge is the way of acquiring the abilities to move our body by trial and error. Understanding of the relationship between body segments plays a key role in order to encourage learning the physical tacit knowledge. This study utilized the visualization as the tool for understanding its relationship.

人工知能や認知科学といった知能研究で,様々な研究アプローチ/方法論による探究が進んだ今日でも身体知の研究は乏しい.ロボティクスをはじめとする身体性探究は昨今盛んになってきたが,意識や言語的推論の研究と身体の研究をつなぐ研究はほとんどない.知の研究が,客観的外部観測による自然科学方法論に固執し,内部観測的な方法論に基づく研究を軽視してきたことに一因がある.身体知の解明には,身体と意識の共創関係を探究することが重要である.身体と意識の共創関係を明らかにする方法論として身体的メタ認知がある.本稿では,メタ認知を行いながらライフスキルの学習を目指す生活者が,身体スキルと意識を共創的に進化させるプロセスを促すための情報技術支援システムについて論じる.支援パラダイムは,学習者が身体への意識を能動的に変えたときに身体の状態がどう変わるのかをリアルタイムに可視化して見せるというものである.

The purpose of our study was to develop an activity monitor system for the energy expenditure in water walking in the swimming pool. In order to establish an estimation equation for the energy expenditure in water walking, the authors conducted a physiological experiment for adult subjects. The authors hypothesized that the oxygen consumption in the water walking consists of the basal metabolic energy, the joint consumption energy and the propelling energy. Therefore, the individual physical parameters and his kinematical data, such as walking velocity, body acceleration were adopted for the variables for the estimation equation. Adjusted coefficients of determination of the estimation equations on both the male and the female were r^2 = 0.735, r^2 = 0.730 respectively. Based on our developed estimation equations, the authors prototyped a wearable activity monitor with 2.4GHz wireless function for the walkers. This wearable activity monitor designed to be attached on the ocipital head of the walker and measured both the acceleration and the position. Measured data were sent to the database server and calculated the energy expenditure in real time. Then, total walking distance, expenditure energy were transmitted and delivered to the walker by the bone conductive speaker.