Title

Rock-Paper-Scissors Prediction Experiments Using Muscle Activations

Abstract

Human motion prediction is becoming more and more important issue in the filed of wearable robots or biorobotics. This paper provides an initial experimental result for human motion prediction. In detail, the prediction method for ternary choice among rock-paper-scissors is presented using temporal patterns of muscle activations (Electromyography, in short EMG) controlling hand motion of subject. Initial burst part of EMG is prior to the onset of actual movement by dozens to hundreds milliseconds. Using this property, the proposed method makes the ternary choice prediction among rock-paper-scissors as soon as 10% motion variation of any finger is detected. It is shown experimentally that the success rate of the proposed prediction method is over 95%. © 2012 IEEE.

Publication Date

12-1-2012

Publication Title

IEEE International Conference on Intelligent Robots and Systems

Number of Pages

5133-5134

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/IROS.2012.6386264

Socpus ID

84872345497 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84872345497

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