Facial Muscular Human-Computer Interface at a Motor Unit Level

Assistive technology allows motor-impaired people to overcome limitations. Several myoelectric interfaces have been developed, however, there is no reported study employing information at a motor u...

[1]  Dario Farina,et al.  Concentric-ring electrode systems for noninvasive detection of single motor unit activity , 2001, IEEE Transactions on Biomedical Engineering.

[2]  J. M. Gilbert,et al.  Silent speech interfaces , 2010, Speech Commun..

[3]  Sanjay S Joshi,et al.  Two-Dimensional Cursor-to-Target Control From Single Muscle Site sEMG Signals , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  C. K. Battye,et al.  The use of myo-electric currents in the operation of prostheses. , 1955, The Journal of bone and joint surgery. British volume.

[5]  Poika Isokoski,et al.  Gazing and frowning as a new human--computer interaction technique , 2004, TAP.

[6]  Hung-Yuan Chung,et al.  Application of facial electromyography in computer mouse access for people with disabilities , 2006, Disability and rehabilitation.

[7]  S. Kumar,et al.  EMG based voice recognition , 2004, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004..

[8]  Jr. S. Marple,et al.  Computing the discrete-time 'analytic' signal via FFT , 1999, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[9]  R. Johansson,et al.  Prediction Precedes Control in Motor Learning , 2003, Current Biology.

[10]  Gamini Dissanayake,et al.  Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals , 2012, Expert Syst. Appl..

[11]  A. Bastian Learning to predict the future: the cerebellum adapts feedforward movement control , 2006, Current Opinion in Neurobiology.

[12]  Slawomir J. Nasuto,et al.  Extraction of motor unit action potentials from electromyographic signals through generative topographic mapping , 2007, J. Frankl. Inst..

[13]  Changmok Choi,et al.  An SEMG computer interface using three myoelectric sites for proportional two-dimensional cursor motion control and clicking for individuals with spinal cord injuries. , 2013, Medical engineering & physics.

[14]  Sunghoon Kwon,et al.  Adaptive EMG-driven communication for the disabled , 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

[15]  F. Manes,et al.  Can electromyography objectively detect voluntary movement in disorders of consciousness? , 2007, Journal of Neurology, Neurosurgery, and Psychiatry.

[16]  M Adjouadi,et al.  A practical EMG-based human-computer interface for users with motor disabilities. , 2000, Journal of rehabilitation research and development.

[17]  Slawomir J. Nasuto,et al.  The application of the Hilbert spectrum to the analysis of electromyographic signals , 2008, Inf. Sci..

[18]  A. Barreto,et al.  Enhanced Hybrid Electromyogram / Eye Gaze Tracking Cursor Control System for Hands-Free Computer Interaction , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  Peter J. Kyberd,et al.  Mouse emulation based on facial electromyogram , 2013, Biomed. Signal Process. Control..