DocumentCode :
2957369
Title :
Defining Habituation using Hand Geometry
Author :
Kukula, Eric P. ; Elliott, Stephen J. ; Gresock, Bryan P. ; Dunning, Nathan W.
Author_Institution :
Purdue Univ. West Lafayette, West Lafayette
fYear :
2007
fDate :
7-8 June 2007
Firstpage :
242
Lastpage :
246
Abstract :
The word "habituation" has many meanings within the biometric community. Most people define the concept of habituation as "continued use of a biometric device." When a user is habituated, he or she is capable of providing repeatable samples to the biometric sensor, and the performance scores of the biometric sensor, relative to that user, have stabilized. This paper establishes a model of the processes of habituation and provides score data from hand geometry to show how this concept works with actual data. We illustrate a four-step process of a user\´s interaction with the device and describe how the data seems to prove that an individual becomes fully habituated after repeated use of the device. The type and amount of user training, and number of interaction attempts are shown to have an impact on the biometric sensor\´s performance scores.
Keywords :
biometrics (access control); human computer interaction; image recognition; image sensors; biometric device; hand geometry device; human-biometric sensor interaction; image recognition; user habituation; Biometrics; Biosensors; Computational geometry; Computer industry; Government; Pins; Power generation; Security; Shape measurement; Solid modeling; biometrics; habituation; hand geometry; human-biometric sensor interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Identification Advanced Technologies, 2007 IEEE Workshop on
Conference_Location :
Alghero
Print_ISBN :
1-4244-1300-1
Electronic_ISBN :
1-4244-1300-1
Type :
conf
DOI :
10.1109/AUTOID.2007.380627
Filename :
4263248
Link To Document :
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