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  • 1
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    Device Control Using Gestures Sensed from EMG (2003)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: In this paper we present neuro-electric interfaces for virtual device control. The examples presented rely upon sampling Electromyogram data from a participants forearm. This data is then fed into pattern recognition software that has been trained to distinguish gestures from a given gesture set. The pattern recognition software consists of hidden Markov models which are used to recognize the gestures as they are being performed in real-time. Two experiments were conducted to examine the feasibility of this interface technology. The first replicated a virtual joystick interface, and the second replicated a keyboard.
    Keywords: Computer Systems
    Type: IEEE International Workshop on Soft Computing in Industrial Applications; Jun 23, 2003 - Jun 25, 2003; Binghamton, NY; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 2
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    Characterization of bioelectric potentials (2004)
    In:  CASI
    Details
    Publication Date: 2019-08-27
    Description: Method and system for recognizing and characterizing bioelectric potential or electromyographic (EMG) signals associated with at least one of a coarse gesture and a fine gesture that is performed by a person, and use of the bioelectric potentials to enter data and/or commands into an electrical and/or mechanical instrument. As a gesture is performed, bioelectric signals that accompany the gesture are subjected to statistical averaging, within selected time intervals. Hidden Markov model analysis is applied to identify hidden, gesture-related states that are present. A metric is used to compare signals produced by a volitional gesture (not yet identified) with corresponding signals associated with each of a set of reference gestures, and the reference gesture that is closest to the volitional gesture is identified. Signals representing the volitional gesture are analyzed and compared with a database of reference gestures to determine if the volitional gesture is likely to be one of the reference gestures. Electronic and/or mechanical commands needed to carry out the gesture may be implemented at an interface to control an instrument. Applications include control of an aircraft, entry of data from a keyboard or other data entry device, and entry of data and commands in extreme environments that interfere with accurate entry.
    Keywords: Computer Systems
    Format: application/pdf
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