Myoelectric classification has been widely studied for controlling prosthetic devices and human computer interface (HCI). However, it is still not robust due to external conditions: limb position changes, electrode shifts, and skin condition changes. These issues compromise the reliability of pattern recognition techniques in myoelectric systems. In order to increase the reliability in the limb position effect when a limb position is changed from the position in which the system is trained, this paper proposes a myoelectric system using dynamic motions. Dynamic time warping (DTW) technique was used for the alignment of two different time-length motions, and correlation coefficients were then calculated as a similarity metric to classify dynamic motions. On the other hand, Fisher's linear discriminant analysis was applied on static motions for the purpose of dimensionality reduction and Naïve Bayesian classifier for classifying the motions. To estimate the robustness to the limb position effect, static and dynamic motions were collected at four different limb positions from eight human subjects. The statistical analysis, t-test (p < 0.05), showed that, for all subjects, dynamic motions were more robust to the limb position effect than static motions when training and validation sets were extracted from different limb positions with the best classification accuracy of 97.59% and 3.54% standard deviation (SD) for dynamic motions compared with 71.85% with 12.62% SD for static motions.
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November 2016
Research-Article
Robustness of Using Dynamic Motions and Template Matching to the Limb Position Effect in Myoelectric Classification
Sungtae Shin,
Sungtae Shin
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843-3123
e-mails: sstmir@tamu.edu; sstmir@gmail.com
Texas A&M University,
College Station, TX 77843-3123
e-mails: sstmir@tamu.edu; sstmir@gmail.com
Search for other works by this author on:
Reza Tafreshi,
Reza Tafreshi
Associate Professor
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University at Qatar,
P. O. Box 23874,
Doha, Qatar
e-mail: reza.tafreshi@qatar.tamu.edu
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University at Qatar,
P. O. Box 23874,
Doha, Qatar
e-mail: reza.tafreshi@qatar.tamu.edu
Search for other works by this author on:
Reza Langari
Reza Langari
1
Professor
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843-3123
e-mail: rlangari@tamu.edu
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843-3123
e-mail: rlangari@tamu.edu
1Corresponding author.
Search for other works by this author on:
Sungtae Shin
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843-3123
e-mails: sstmir@tamu.edu; sstmir@gmail.com
Texas A&M University,
College Station, TX 77843-3123
e-mails: sstmir@tamu.edu; sstmir@gmail.com
Reza Tafreshi
Associate Professor
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University at Qatar,
P. O. Box 23874,
Doha, Qatar
e-mail: reza.tafreshi@qatar.tamu.edu
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University at Qatar,
P. O. Box 23874,
Doha, Qatar
e-mail: reza.tafreshi@qatar.tamu.edu
Reza Langari
Professor
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843-3123
e-mail: rlangari@tamu.edu
Mem. ASME
Department of Mechanical Engineering,
Texas A&M University,
College Station, TX 77843-3123
e-mail: rlangari@tamu.edu
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received November 5, 2015; final manuscript received May 23, 2016; published online July 15, 2016. Assoc. Editor: Xiaopeng Zhao.
J. Dyn. Sys., Meas., Control. Nov 2016, 138(11): 111009 (11 pages)
Published Online: July 15, 2016
Article history
Received:
November 5, 2015
Revised:
May 23, 2016
Citation
Shin, S., Tafreshi, R., and Langari, R. (July 15, 2016). "Robustness of Using Dynamic Motions and Template Matching to the Limb Position Effect in Myoelectric Classification." ASME. J. Dyn. Sys., Meas., Control. November 2016; 138(11): 111009. https://doi.org/10.1115/1.4033835
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