Motion Prediction in Rock Scissor Paper Game based on Machine Learning

DONG RYEOL, SHIN and EARL, KIM and JANG YEOL, LEE and JUN HEON, KIM and KEE HYUN, CHOI (2017) Motion Prediction in Rock Scissor Paper Game based on Machine Learning. In: Sixth International Conference on Advances in Computing, Control and Networking - ACCN 2017, 25-26 February 2017, Bangkok, Thailand.

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Abstract

The main aim of this system is to predict and analyze gesture pattern from a user based on machine learning. The system is adopted in the rock-paper-scissors game which is suggested as always win at the game by predicting user gesture. Quantization and processing of user gesture from EMG sensor are implemented to generate training data in order that disciplining machine. As suggested procedure, an enormous amount of user gesture data will be collected and training model will be implemented with machine learning. By adopting the implemented system into the game, the research will verify that it is feasible to predict user gesture during playing game. The manner of a game is that computer shows the result when the user starts the rock-paper-scissors game in front of the monitor and the system always shows winning result that is the main purpose of it.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: machine learning, apache spark, streaming, gesture, prediction
Depositing User: Mr. John Steve
Date Deposited: 18 Mar 2019 05:31
Last Modified: 18 Mar 2019 05:31
URI: http://publications.theired.org/id/eprint/565

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