We proposed the mouse to control a computer mouse
with head rotations and eye blinks so that the severe disabled
person can use a computer. We compared the performance of
the proposed mouse to that of a general computer mouse and to
that of alternative mouses such as Quick glance using eye
movements and a Camera mouse using face movements. The
mouse positions were estimated using gyro sensors that can
measure the angular velocity of head rotations, and mouse events
such as clicks/double clicks were detected using opto-sensors that
can detect blinking of the eyes. We could eliminate the need to
perform the cumbersome task of periodically removing the
accumulated error. We facilitated intuitive control of the mouse
by using a nonlinear relative coordinates system with dead zones.
We added circuitry to opto-sensors for event detection in order to
reduce the influence of the ambient light changes. As a result, we
could increase the mouse movements and events accuracy. The
proposed mouse showed superior performance about 21% in the
experiment of the 20 times clicks, about 25% of Dasher, and
about 37% of on-screen keyboard, respectively. The mouse is
also better than Camera Mouse, which is used along with a web
cam.