Mental fatigue monitoring using a wearable transparent eye detection system
Micromachines, 2016•mdpi.com
We propose mental fatigue measurement using a wearable eye detection system. The
system is capable of acquiring movement of the pupil and blinking from the light reflected
from the eye. The reflection is detected by dye-sensitized photovoltaic cells. Since these
cells are patterned onto the eyeglass and do not require external input power, the system is
notable for its lightweight and low power consumption and can be combined with other
wearable devices, such as a head mounted display. We performed experiments to correlate …
system is capable of acquiring movement of the pupil and blinking from the light reflected
from the eye. The reflection is detected by dye-sensitized photovoltaic cells. Since these
cells are patterned onto the eyeglass and do not require external input power, the system is
notable for its lightweight and low power consumption and can be combined with other
wearable devices, such as a head mounted display. We performed experiments to correlate …
We propose mental fatigue measurement using a wearable eye detection system. The system is capable of acquiring movement of the pupil and blinking from the light reflected from the eye. The reflection is detected by dye-sensitized photovoltaic cells. Since these cells are patterned onto the eyeglass and do not require external input power, the system is notable for its lightweight and low power consumption and can be combined with other wearable devices, such as a head mounted display. We performed experiments to correlate information obtained by the eye detection system with the mental fatigue of the user. Since it is quite difficult to evaluate mental fatigue objectively and quantitatively, we assumed that the National Aeronautics and Space Administration Task Load Index (NASA-TLX) had a strong correlation with te mental fatigue. While a subject was requested to conduct calculation tasks, the eye detection system collected his/her information that included position, velocity and total movement of the eye, and amount and frequency of blinking. Multiple regression analyses revealed the correlation between NASA-TLX and the information obtained for 3 out of 5 subjects.
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