Using Otoacoustic emissions as a biometric
Using Otoacoustic emissions as a biometric
  This paper presents research into using otoacoustic emissions (OAE) as a biometric. OAE are a group of sounds emitted by the cochlea of the ear. The main types are spontaneous OAE which are continuously emitted and the transient and distortion product types emitted after stimulation. In this paper the characteristics of OAE are discussed to identify the most suitable emission for use as a physiological biometric. The uniqueness of transient OAE are characterised from a data set of 2009 random individuals by a closed rank test. Details of a low-cost portable prototype OAE acquisition system developed at Southampton University are discussed.
  otoacoustic biometric
  3-540-22146-8
  600-606
  
  
    
      Swabey, M.A.
      
        8d671618-18b3-4015-94d0-54f391772f80
      
     
  
    
      Beeby, S.P.
      
        ba565001-2812-4300-89f1-fe5a437ecb0d
      
     
  
    
      Brown, A.D.
      
        5c19e523-65ec-499b-9e7c-91522017d7e0
      
     
  
    
      Chad, J.E.
      
        d220e55e-3c13-4d1d-ae9a-1cfae8ccfbe1
      
     
  
  
    
  
    
  
   
  
  
    
      2004
    
    
  
  
    
      Swabey, M.A.
      
        8d671618-18b3-4015-94d0-54f391772f80
      
     
  
    
      Beeby, S.P.
      
        ba565001-2812-4300-89f1-fe5a437ecb0d
      
     
  
    
      Brown, A.D.
      
        5c19e523-65ec-499b-9e7c-91522017d7e0
      
     
  
    
      Chad, J.E.
      
        d220e55e-3c13-4d1d-ae9a-1cfae8ccfbe1
      
     
  
    
  
    
  
       
    
 
  
    
      
  
  
  
  
    Swabey, M.A., Beeby, S.P., Brown, A.D. and Chad, J.E.
  
  
  
  
   
    (2004)
  
  
    
    Using Otoacoustic emissions as a biometric.
  
  
  
    
      Zhang, D. and Jain, A.K. 
      (eds.)
    
  
  
   In Biometric Authentication. 
  vol. 3072, 
      Springer. 
          
          
        .
    
  
  
  
  
  
   
  
    
      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
    
      
        
          Abstract
          This paper presents research into using otoacoustic emissions (OAE) as a biometric. OAE are a group of sounds emitted by the cochlea of the ear. The main types are spontaneous OAE which are continuously emitted and the transient and distortion product types emitted after stimulation. In this paper the characteristics of OAE are discussed to identify the most suitable emission for use as a physiological biometric. The uniqueness of transient OAE are characterised from a data set of 2009 random individuals by a closed rank test. Details of a low-cost portable prototype OAE acquisition system developed at Southampton University are discussed.
         
      
      
        
          
            
  
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      Published date: 2004
 
    
  
  
    
  
    
     
        Additional Information:
        Awarded Best Paper Prize Event Dates: 15-17th July 2004
      
    
  
    
     
        Venue - Dates:
        First International Conference on Biometric Authentication (ICBA 2004), Hong Kong, 2004-07-17
      
    
  
    
  
    
  
    
     
        Keywords:
        otoacoustic biometric
      
    
  
    
     
        Organisations:
        Electronic & Software Systems, EEE
      
    
  
    
  
  
        Identifiers
        Local EPrints ID: 260480
        URI: http://eprints.soton.ac.uk/id/eprint/260480
        
        
          ISBN: 3-540-22146-8
        
        
        
          PURE UUID: 0177d236-0b80-4769-b65c-0c0afbf0b203
        
  
    
        
          
            
          
        
    
        
          
            
              
            
          
        
    
        
          
            
          
        
    
        
          
            
              
            
          
        
    
        
          
            
          
        
    
        
          
            
          
        
    
  
  Catalogue record
  Date deposited: 08 Feb 2005
  Last modified: 18 Mar 2024 02:39
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      Contributors
      
          
          Author:
          
            
              
              
                M.A. Swabey
              
              
            
            
          
        
      
          
          Author:
          
            
              
              
                S.P. Beeby
              
              
                
              
            
            
          
         
      
          
          Author:
          
            
              
              
                A.D. Brown
              
              
            
            
          
        
      
        
      
          
          Editor:
          
            
              
              
                D. Zhang
              
              
            
            
          
        
      
          
          Editor:
          
            
              
              
                A.K. Jain
              
              
            
            
          
        
      
      
      
    
  
   
  
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