A Method of Controlling Household Electrical Appliance by Hand Motion in LonWorks

抄録

We investigate the method for many people to deliver home automation using the EMG that has been used for the sake of diagnosis of neurogenic and myogenic diseases. In order to compute characteristics of the EMG more easily, we use the well-known FFT. With characteristics obtained from FFT method, we propose the motion classifier for functional matching in network and to show the feasibility of home automation by the motion classifier, we have designed that basic household electrical appliance is run by operator’s motion in on-line.