Abstract: The object of the present invention is to keep a high success rate in recognition with a low-volume of sound signal, without being affected by noise.

Abstract: Information relating to an amount of muscle activity is extracted from a myo-electrical signal by activity amount information extraction means, and information recognition is performed by activity amount information recognition means using the information relating to the amount of muscle activity of a speaker. There is a prescribed correspondence relationship between the amount of muscle activity of a speaker and a phoneme uttered by a speaker, so the content of an utterance can be recognized with a high recognition rate by information recognition using information relating to an amount of muscle activity.

Abstract: A full-time wearable input device, method for the same is provided, wherein the immediate accessibility is improved without sacrificing the operational integrity, and information can be inputted anytime, anywhere, and immediately. The full-time wearable input device comprises a detector for detecting the shock generated at the time of striking the fingertips against a physical surface, and an analyzer for analyzing the timing at which the fingertips strike the aforementioned physical surface and determining the input information based on the detection signal detected by the aforementioned detector. As the above-mentioned detector, a shock sensor, acceleration sensor, sound sensor and myoelectric sensor can be used. The input information is then determined based on the change in the shock, acceleration, sound and/or myoelectric potential as detected by the sensors which are worn on each finger, wrist, or arm.

Abstract: The purpose of the present invention is to provide a handwriting information detecting method and apparatus for the same, in which a user can choose any handwriting tool such as a pen or a pencil, and when the user writes with the tool, the handwriting information can be detected. The handwriting information detecting method of the present invention comprises steps of detecting a motion of a writing tool, held by a writing tool holder comprising at least one acceleration sensor, based on at least one acceleration signal output from the at least one acceleration sensor when the writing tool is grasped by fingers; and recognizing handwriting information of a character or a figure written by the writing tool according to the detected motion thereof, and outputting the information.

Abstract: The present invention provides a handwritten character recognition method in which neighboring points are connected by straight lines and the segments in-between points are then interpolated using broken lines. Each broken line is equally divided into k segments, and a number is assigned to each division point therein according to the time sequence of the respective point. A (k+1)N.times.N (N is the number of strokes) matrix P consisting of the elements of row (k+1)(n-1)+1 and column k(m-1)+j comprising angle .OMEGA. formed by the straight line connecting division point i of stroke n and division point j of stroke m and the straight line connecting division point i of stroke n and division point j+1 of stroke m, is then calculated. The distance di between handwritten character Cx and matrix Qi (i=1-M) formed in the same manner from M templates corresponding to characters possessing the same number of strokes as character Cx, is calculated as the sum of the squares of each element of matrix P-Qi.