: It is known that graphic interfaces using electromyogram (EMG) generated by wrist motion are a potentially viable for a wearable computer. However, these interface prototypes seem to be not practical because it takes time and effort to set EMG electrodes on scattered positions. For easy-to-wear use, we suggested that the electrodes should be located on a circle around the forearm. Also, we designed the device prototype for attaching EMG electrodes. This device makes it easy to attach the electrodes on a forearm without an adhesive. In order to classify wrist motion, fuzzy min-max neural network was used. The features used in classification of wrist motion were stochastic values such as integral absolute value. After learning the pattern, five wrist motions could be classified well.