| 摘要 |
<P>PROBLEM TO BE SOLVED: To provide a muscle-activity diagnosis apparatus that is capable of efficiently obtaining a change in myoelectric potential without much trouble in daily life, and is capable of identifying activity states of human muscles that are changing every moment. <P>SOLUTION: A signal output from an input-signal processing section 41 is subjected to Hilbert transformation by a Hilbert transformation section 43 after processed by an AD converter 42. An inverse-Fourier-transformation section 44 performs inverse Fourier transformation with respect to the result of the Hilbert transformation, and generates signals having waveforms with their phase shifted by 90°. A phase-diagram generation section 45 generates a phase diagram based on an original signal and the transformed signal, and a phase-velocity calculation section 46 calculates a phase velocity based on the phase diagram. A state detection section 47 identifies facial motion and expression, etc. of the user 20 based on the signal output from the AD converter 42 and that output from the phase-velocity calculation section 46. <P>COPYRIGHT: (C)2012,JPO&INPIT |
