# FATIGUE RECOGNITION USING EMG SIGNALS AND STOCHASTIC SWITCHED ARX MODEL

### Hiroyuki Okuda, Fumio Kometani, Shinkichi Inagaki, Tatsuya Suzuki

#### Abstract

The man-machine cooperative system is attracting great attention in many fields, such as industry, welfare and so on. The assisting system must be designed so as to accommodate the operatorâ€™s skill, which might be strongly affected by the fatigue. This paper presents a new fatigue recognizer based on the Electro Myo-Gram (EMG) signals and the Stochastic Switched ARX (SS-ARX) model which is one of the extended model of the standard Hidden Markov Model (HMM). Since the SS-ARX model can represent complex dynamical relationship which involves switching and stochastic variance, it is expected to show higher performance as the fatigue recognizer than using simple statistical characteristics of the EMG signal and/or standard HMM. The usefulness of the proposed strategy is demonstrated by applying to a peg-in-hole task.

#### References

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#### Paper Citation

#### in Harvard Style

Okuda H., Kometani F., Inagaki S. and Suzuki T. (2009). **FATIGUE RECOGNITION USING EMG SIGNALS AND STOCHASTIC SWITCHED ARX MODEL** . In *Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,* ISBN 978-989-674-000-9, pages 202-207. DOI: 10.5220/0002205502020207

#### in Bibtex Style

@conference{icinco09,

author={Hiroyuki Okuda and Fumio Kometani and Shinkichi Inagaki and Tatsuya Suzuki},

title={FATIGUE RECOGNITION USING EMG SIGNALS AND STOCHASTIC SWITCHED ARX MODEL},

booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},

year={2009},

pages={202-207},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0002205502020207},

isbn={978-989-674-000-9},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,

TI - FATIGUE RECOGNITION USING EMG SIGNALS AND STOCHASTIC SWITCHED ARX MODEL

SN - 978-989-674-000-9

AU - Okuda H.

AU - Kometani F.

AU - Inagaki S.

AU - Suzuki T.

PY - 2009

SP - 202

EP - 207

DO - 10.5220/0002205502020207