Conference paper Open Access
Stefan Wakolbinger; Josef Alois Birchbauer; Severin Küberl
In order to analyze human gait patterns, highly accurate data
must be collected at high frame rates. The state of the art is to
deploy a carpet-like structure instrumented with pressure
sensors, which allows for measuring position, orientation and
pressure of each foot at each step.
Since such gait “walkway carpets” are highly expensive1 and
also limited in length, we propose an alternative in the form
of a wheeled walker equipped with a consumer depth camera.
We have designed and implemented algorithms that derive
the same set of parameters from the depth data as in a gait
walkway system, however without the need for the physical
presence of a walkway carpet. Moreover, we are able to
provide additional information, due to continuous observation
of the gait cycle, i.e. not only when the user steps on the
ground. In order to retrieve actual foot pressure information,
we use a shoe insole sensor.
Our experiments show that the system is able to collect gait
relevant data with sufficient accuracy and frame rates. While
the feet’s position accuracy depends primarily on the noise of
the depth sensor and is typically at a precision of less than 3
mm, the orientation accuracy is around 1-2 degrees for typical