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In the paper, we proposed an anticipatory pattern recognition method for an electromyogram (EMG) prosthetic hand control. To detect humans' motor intentions as fast as possible, we focused on the transient state of the EMG signals. We sampled the EMG signals from a human forearm, and extracted a feature vector every 50 ms. At each time window, the proposed pattern discriminator determined whether...
We have developed a browsing tool for visualizing information about geographic surfaces using map-based augmented reality (AR). Map-based AR technology enables virtual objects to be overlaid on an actual map, creating a tangible user interface. In map-based AR applications, a virtual lens pointer is often used for object selection. However, this type of interaction is difficult when there are many...
This paper proposes a periodic motion pattern generation model inspired by biological brain motor systems. The model consists of three parts, "Brain", "CPG" and "Body." The Brain part is a time-series pattern discriminator modeled by RNN, which works as a predictive selector of CPG parameters. The CPG part is a rhythmic pattern generator for a lower level motor control,...
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