| 摘要 |
<p><P>PROBLEM TO BE SOLVED: To provide a method for detecting neural information from physical exercise information of muscles, tendons, etc. of the whole body and utilizing the detected neural information for supporting learning of physical exercise. <P>SOLUTION: A processing part performs initialization (S101), reads reference data and object data from a neural data file (S103), and carries out preprocessing (S105). The processing part sets an initial hour (S107), segments a template of a designated time interval from the reference data (S109), calculates correlation with the template extending through the designated area of the object data (S111), and stores data obtained by making the maximum correlation value between hour in the reference data and the object data correspond to the hour for different trials of the same kind of nerves into a file of time data corresponding to trials for each of the same kind of nerves (S113). The processing part advances a unit hour unit minute to a final hour (S115, S117), carries out post processing, obtains a corresponding time and the correlation value about the same trial of different kinds of nerves to store them into a file of time data corresponding to the same trial of the different kinds of nerves (S119), and presents it on a display part (S121). <P>COPYRIGHT: (C)2006,JPO&NCIPI</p> |
