Abstract
In this paper, we have presented a new direction for gait measurement without the use of a camera or video images. The change in the electric potential of the human body that is caused by the walking motion induces an electrostatic induction current in the electrode placed at a distanceof a few meters from the human body. Using this technology, we have developed an effective non-contact and non-attached technique for the detection of human walking motion by detecting the change in this human-generated body charge. This technique effectively explains the behavior of the waveform of the electrostatic induction current flowing through a given measurement electrode through a capacitance model of the human body. Gair waveforms of 8 healthy individuals aged between 22 and 24 years were obtained by the proposed technique. By data processing techniques such as differentiation and normalization after Fourier analysis of the obtained waveform, we obtained the Pearson correlation coefficients with each other. Results show that there is high correlation in spite of different walking tempo. This suggests that process of human walk has a self-sustaining and dynamic rhythm by the integrated signals from the spinal cord in spite of walking tempo.
