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Evaluation of a game controller using human stiffness estimated from electromyogram.

Masato Watanabe1, Taisuke Yamamoto, Hiroyuki Kambara

  • 1Department of Computational Intelligence and System Science, Tokyo Institute of Technology, Yokohama, Japan. m-watanabe@hi.pi.titech.ac.jp

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
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Summary

This study introduces a novel game controller using acceleration and electromyography (EMG) to capture player movement and force, enhancing sports game realism. While beneficial for beginners, further refinement is needed for expert players

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Area of Science:

  • Human-computer interaction
  • Game design
  • Sports science

Background:

  • Conventional motion controllers enhance sports game realism using acceleration sensors.
  • Players adjust both visible posture and invisible forces like stiffness and viscosity during sports.
  • Existing controllers do not fully capture the nuanced physical forces involved in sports.

Purpose of the Study:

  • To propose and evaluate a novel game controller that integrates player movement and force.
  • To enhance the intuitiveness and realism of sports games by incorporating player-generated forces.
  • To compare the proposed controller's performance against conventional methods in a sports game context.

Main Methods:

  • Developed a game controller utilizing acceleration and electromyography (EMG) sensors.
  • Implemented a golf game to test the controller's efficacy.
  • Measured performance based on the distance between the ball's final position and the cup.

Main Results:

  • The proposed controller demonstrated superior performance for beginners in the golf game.
  • Conventional button-type controllers were preferred by well-trained players due to more accurate input.
  • Difficulty in maintaining consistent arm stiffness with the proposed controller was identified as a limitation for expert players.

Conclusions:

  • The proposed game controller offers enhanced realism and intuitiveness, particularly for novice players.
  • Further research into coarsely-quantizing EMG data may address input accuracy issues for expert players.
  • The goal is to achieve a more intuitive and user-friendly game controller by refining force-sensing capabilities.