Evaluation of vision-based head-trackers for assistive devices.
This paper presents a new evaluation methodology for assistive devices employing head-tracking systems based on an adaptation of the Fitts Test. This methodology is used to compare the effectiveness and performance of a new vision-based head tracking system using face, skin and motion detection techniques with two existing head tracking devices and a standard mouse. The application context and the abilities of the user are combined with the results from the modified Fitts Test to help determine the most appropriate devices for the user. The results suggest that this modified form of the Fitts test can be effectively employed for the comparison of different access technologies.
Faculty of Science, School of Digital Arts and Engineering, University of Kent, Canterbury, Kent CT2 7NZ, United Kingdom. spg23@kent.ac.uk
S P
SP
Guness
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F
Deravi
K
K
Sirlantzis
M G
MG
Pepper
M
M
Sakel
D000465:Algorithms; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006257:Head / Q000033:anatomy & histology* / Q000502:physiology*; D019416:Head Movements / Q000502:physiology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000295:instrumentation* / Q000379:methods*; D015203:Reproducibility of Results; D012656:Self-Help Devices; D012680:Sensitivity and Specificity