Abstract:
A part of the image input from a fingerprint sensor (S 1 ) is cut out (S 3 ), and a fundamental frequency is calculated by using second-order linear predictive analysis (S 5 ). A total value S of the fundamental frequencies in a direction x and a direction y is calculated so as to be used as a grading scale of fineness in texture (S 7 ). A prepared threshold is compared with the grading scale S obtained at S 7 , and the fineness in texture of a skin condition is evaluated in three grades (S 9 to S 17 ). Further, a ratio of the fundamental frequency of the subject image in the direction x to the fundamental frequency in the direction y is calculated so as to be used as a grading scale relating to texture running (S 19 ). Similar grading scales are obtained by rotating the image, and the texture running is determined into two grades based on the grading scales (S 31 to S 35 ). Results of determining the fineness in texture and the texture running are displayed on a display screen (S 37 ).
Abstract:
PROBLEM TO BE SOLVED: To score only a singing part by judging whether a sound input from a microphone is accompaniment information or human singing voice. SOLUTION: A score processing part 12 incorporated in a Karaoke machine 1 is provided with an accompaniment/singing voice discrimination part 21 for judging whether a sound signal input from the microphone 2 is a Karaoke accompaniment or human singing voice. The accompaniment/singing voice discrimination part 21 calculates a spectrum by analyzing the frequency of the sound signal input from the microphone 2 and decides that the input sound signal is accompaniment information when the concentration of energy of the spectrum into a high frequency band is detected. COPYRIGHT: (C)2008,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a vibrato detection method suited to singing skill evaluation and having high reliability, a singing training program to which the vibrato detection method is applied, and a Karaoke machine having a singing skill evaluation function capable of calculating a score closely rotated to human subjectivity. SOLUTION: A pitch variation Δf is calculated from an input voice signal. A periodicity calculation module 143A performs auto-correlation analysis with respect to the pitch variation Δf for a plurality of frames to detect vibratos. Since the auto-correlation analysis is used for the pitch variation Δf, vibrato detection resistant to noise or disturbance can be achieved. A positive phase/reverse phase synthesis module 143B can perform highly reliable vibrato detection by synthesizing the correlation function of a positive phase and the correlation function of a reverse phase which are calculated from the auto-correlation function. Detected vibrato information is used for the singing training program and the Karaoke machine. COPYRIGHT: (C)2008,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To solve the problem that the size of an operation section of a mobile phone is limited and addition of a fingerprint sensor to a conventional operation button array impedes size reduction and the degree of freedom of layout of the operation section. SOLUTION: The mobile phone 10 includes a control processing section 110, a pointing means 100 of detecting and outputting movement of a finger tip as a button operation, and a threshold value varying means 104. Further, the pointing means 100 includes a fingerprint sensor device 105, a movement calculating means 112, and an operation converting means 114. Furthermore, the fingerprint sensor device 105 includes a fingerprint sensor 103, a moving vector converting means 106, and hardware and software for user authentication, and the moving vector converting means 106 includes a sensitivity processing section 116. COPYRIGHT: (C)2007,JPO&INPIT