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This paper investigates a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a simple brain-computer interface and discusses its possibility of controlling application in a hands-free manipulation system. A simple gesture recognition algorithm from EOG and EMG signals is presented to estimate the user's intentions and/or thoughts. To evaluate the effectiveness...
This paper proposes a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a brain-computer interface and investigates its possibility of application to control of a hands-free manipulation system. A simple gesture recognition algorithm is presented to estimate the user's intentions/thoughts from the EOG and EMG signals. To evaluate the feasibility and the characteristics...
This paper proposes a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a brain-computer interface and investigates its possibility of applying to control application. A simple gesture recognition algorithm is presented to estimate the user's intentions from the bio-potential signals. To evaluate the feasibility and the characteristics of the nonverbal interface...
This paper proposes a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a brain-computer interface and investigates its possibility of applying to control application. A simple gesture recognition algorithm is presented to estimate the user's intentions from the EOG and EMG signals, and the user's emotion is evaluated by using the EEG signal. To evaluate the...
This paper proposes a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a brain-computer interface and investigates its possibility of applying to control application. A simple gesture recognition algorithm is presented to estimate the user's intentions from the EOG and EMG signals, and the user's emotion is evaluated by using the EEG signal. To evaluate the...
This paper proposes a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a brain-computer interface and investigates its possibility of applying to control application. A simple gesture recognition algorithm is presented to estimate the user's intentions from the EOG and EMG signals, and the user's emotion is evaluated by using the EEG signal. To evaluate the...
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