A novel non-contact hand motion classification technique for application to human machine interfaces
Koichi Kurita · Society of Instrument and Control Engineers of Japan · 2011
In this paper, we present an effective non-contact technique for the measurement of human hand motion with four square electrodes; this technique allows the detection of the subject's hand movements in eight different directions. This new method involves the measurement of the current generated due to the difference in the capacitance between the subject's hand and the measurement electrodes. Our classification approach yields satisfactory recognition results despite the use of a relatively primitive neural network model. This model allows us to recognize the direction of the hand movement with respect to the measurement electrodes under perfect non-contact conditions.