US2004243401A1PendingUtilityA1

Apparatus for detecting fatigue and doze by voice, and recording medium

Assignee: DIRECTOR GENERAL OF SHIP RES IPriority: Oct 5, 1998Filed: Jul 6, 2004Published: Dec 2, 2004
Est. expiryOct 5, 2018(expired)· nominal 20-yr term from priority
B60K 28/066G10L 17/26A61B 5/18G08B 21/06A61B 5/4803B60W 2540/21
31
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Claims

Abstract

An apparatus for judging a fatigue level and/or a dozing state of a person by capturing voices uttered at different points of time from a microphone 5 M. A computer performs chaos analysis of the digital data of the inputted voices and calculates Lyapunov exponents and judges a fatigue level and/or a dozing state based on the result of the chaos analysis.

Claims

exact text as granted — not AI-modified
What is claimed is:  
     
         1 . An apparatus for detecting fatigue and doze by voice, comprising a controller capable of performing the following operations: 
 calculating Lyapunov exponents by chaos analysis of digital data of voices; and    judging a fatigue level and/or a dozing state by comparing the calculated Lyapunov exponents of voices uttered at different points of time.    
     
     
         2 . The apparatus for detecting fatigue and doze by voice as set forth in  claim 1 , further comprising: 
 a microphone for inputting a voice as a sound signal and    an analog/digital converting device for converting the sound signal inputted to said microphone into digital data.    
     
     
         3 . The apparatus for detecting fatigue and doze by voice as set forth in  claim 1 , wherein 
 the calculation of the Lyapunov exponents by said controller is performed by chaos analysis of digital data of sound signals recorded on a recording medium.    
     
     
         4 . The apparatus for detecting fatigue and doze by voice as set forth in  claim 1 , wherein 
 said controller is further capable of performing the operation of removing a voiceless part from the digital data prior to the calculation of the Lyapunov exponents.    
     
     
         5 . The apparatus for detecting fatigue and doze by voice as set forth in  claim 4 , wherein 
 said controller is further capable of performing the operation of generating digital data of a predetermined length by data based on said digital data, in the case where a data length of said digital data, after removing the voiceless part, is less than the predetermined length, prior to the calculation of the Lyapunov exponents.    
     
     
         6 . A computer readable recording medium on which a program for causing a computer to detect a fatigue level and/or a dozing state by analysis of voices uttered at different points of time is recorded, including: 
 program code means for causing a computer to calculate Lyapunov exponents by chaos analysis of digital data of voices; and    program code means for causing a computer to judge a fatigue level and/or a dozing state by comparing the Lyapunov exponents of the voices uttered at different points of time.    
     
     
         7 . The recording medium as set forth in  claim 6 , further including program code means for causing a computer to remove a voiceless part from loaded digital data.  
     
     
         8 . The recording medium as set forth in  claim 7 , further including program code means for causing a computer to generate digital data of a predetermined length from data based on said loaded digital data, in the case where a data length, after removing the voiceless part from said loaded digital data, is less than the predetermined length.  
     
     
         9 . The recording medium as set forth in  claim 6 , further including: 
 program code means for causing a computer to store calculation results of the Lyapunov exponents;    program code means for causing a computer to read the stored Lyapunov exponents; and    program code means for causing a computer to compare the read Lyapunov exponents of voices uttered at different points of time.    
     
     
         10 . A method for detecting fatigue and doze by voice, the method comprising: 
 receiving voice data onto a recordable medium;    calculating Lyapunov exponents by chaos analysis of the voice data; and    judging a fatigue level and/or a dozing state by comparing the calculated Lyapunov exponents of voices uttered at different points of time.

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