Surface EMG-based Sketching Recognition Using Two Analysis Windows and Gene Expression Programming

Sketching is one of the most important processes in the conceptual stage of design. Previous studies have relied largely on the analyses of sketching process and outcomes; whereas surface electromyographic (sEMG) signals associated with sketching have received little attention. In this study, we pro...

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Vydáno v:Frontiers in neuroscience Ročník 10; s. 445
Hlavní autoři: Yang, Zhongliang, Chen, Yumiao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland Frontiers Research Foundation 14.10.2016
Frontiers Media S.A
Témata:
Algorithms
Arm
Classification
Computers
Design
Designers
Electromyography
Forearm
Gene expression
Gene Expression Programming
Image retrieval
Industrial design
Interactive computer systems
Muscle computer interface
Muscles
Neural networks
Neuroscience
Pattern recognition
Principal components analysis
Research methodology
Sketching
Studies
surface electromyography
User interface
User training
China
sketching
gene expression programming
muscle-computer interface
surface electromyography
pattern recognition
ISSN:1662-453X, 1662-4548, 1662-453X
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Abstract Sketching is one of the most important processes in the conceptual stage of design. Previous studies have relied largely on the analyses of sketching process and outcomes; whereas surface electromyographic (sEMG) signals associated with sketching have received little attention. In this study, we propose a method in which 11 basic one-stroke sketching shapes are identified from the sEMG signals generated by the forearm and upper arm muscles from 4 subjects. Time domain features such as integrated electromyography, root mean square and mean absolute value were extracted with analysis windows of two length conditions for pattern recognition. After reducing data dimensionality using principal component analysis, the shapes were classified using Gene Expression Programming (GEP). The performance of the GEP classifier was compared to the Back Propagation neural network (BPNN) and the Elman neural network (ENN). Feature extraction with the short analysis window (250 ms with a 250 ms increment) improved the recognition rate by around 6.4% averagely compared with the long analysis window (2500 ms with a 2500 ms increment). The average recognition rate for the eleven basic one-stroke sketching patterns achieved by the GEP classifier was 96.26% in the training set and 95.62% in the test set, which was superior to the performance of the BPNN and ENN classifiers. The results show that the GEP classifier is able to perform well with either length of the analysis window. Thus, the proposed GEP model show promise for recognizing sketching based on sEMG signals.
AbstractList Sketching is one of the most important processes in the conceptual stage of design. Previous studies have relied largely on the analyses of sketching process and outcomes; whereas surface electromyographic (sEMG) signals associated with sketching have received little attention. In this study, we propose a method in which 11 basic one-stroke sketching shapes are identified from the sEMG signals generated by the forearm and upper arm muscles from 4 subjects. Time domain features such as integrated electromyography, root mean square and mean absolute value were extracted with analysis windows of two length conditions for pattern recognition. After reducing data dimensionality using principal component analysis, the shapes were classified using Gene Expression Programming (GEP). The performance of the GEP classifier was compared to the Back Propagation neural network (BPNN) and the Elman neural network (ENN). Feature extraction with the short analysis window (250 ms with a 250 ms increment) improved the recognition rate by around 6.4\% averagely compared with the long analysis window (2500 ms with a 2500 ms increment). The average recognition rate for the eleven basic one-stroke sketching patterns achieved by the GEP classifier was 96.26% in the training set and 95.62% in the test set, which was superior to the performance of the BPNN and ENN classifiers. The results show that the GEP classifier is able to perform well with either length of the analysis window. Thus, the proposed GEP model show promise for recognizing sketching based on sEMG signals.
Author Yang, Zhongliang
Chen, Yumiao
AuthorAffiliation 1 College of Mechanical Engineering, Donghua University Shanghai, China
2 Fashion and Art Design Institute, Donghua University Shanghai, China
AuthorAffiliation_xml – name: 2 Fashion and Art Design Institute, Donghua University Shanghai, China
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/27790083$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1145/2030365.2030369
10.3844/ajassp.2012.1742.1756
10.1007/s00163-002-0028-7
10.1145/1040830.1040899
10.1016/S0142-694X(02)00035-2
10.1007/s13246-011-0079-z
10.1198/016214504000000827
10.1016/j.neucom.2015.05.037
10.1371/journal.pone.0006791
10.1109/TBME.2003.813539
10.1186/1743-0003-7-53
10.15446/dyna.v81n187.41068
10.1109/ICBBE.2007.133
10.1145/1891903.1891926
10.1023/A:1024706431807
10.1016/j.cag.2010.07.001
10.1109/TNSRE.2014.2305111
10.1145/108844.108914
10.1016/j.destud.2004.08.003
10.3389/fnins.2016.00058
10.1016/j.cviu.2015.02.003
10.12733/jcis11587
10.1016/j.neucom.2010.06.004
10.1080/09544828.2011.637191
10.1109/TNSRE.2014.2305520
10.1016/j.destud.2013.10.003
10.1016/j.enconman.2012.03.025
10.3389/fnins.2015.00389
10.1371/journal.pone.0043945
10.1016/j.jelekin.2013.04.004
10.1145/1294211.1294238
10.1109/MPRV.2003.1203754
10.1016/j.compag.2013.08.016
10.1109/TEVC.2003.819261
10.1016/j.ins.2005.04.006
10.1145/127719.122753
10.1016/j.cag.2005.05.004
10.3390/s140406677
10.1147/rd.266.0765
10.1186/1743-0003-11-110
10.7551/mitpress/6270.001.0001
10.1007/978-81-322-1050-4_33
10.1186/1743-0003-11-75
10.1109/IEMBS.2010.5627246
10.1109/TBME.2010.2068298
10.1145/642611.642706
10.1109/IJCNN.2003.1223748
10.1109/TNSRE.2010.2100828
10.1145/1572741.1572757
10.1145/1029632.1029640
10.1002/j.1538-7305.1981.tb00272.x
10.1016/j.cag.2008.09.013
10.1016/j.cad.2009.05.005
10.1016/j.neucom.2014.08.007
10.1016/j.bspc.2007.07.009
10.1016/j.neucom.2016.05.038
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Keywords sketching
gene expression programming
muscle-computer interface
surface electromyography
pattern recognition
Language English
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References Taura (B65) 2012; 23
Goel (B23) 1995
Sun (B62) 2014; 35
Tovey (B66) 2003; 24
Ferreira (B19) 2001; 13
Chihi (B12) 2012; 9
Nielsen (B44) 2011; 58
Vikram (B68) 2013
Smith (B61) 2011; 19
Englehart (B17) 2003; 50
Briede-Westermeyer (B6) 2014; 81
Van der Lugt (B67) 2005; 26
Schütze (B59) 2003; 14
Notowidigdo (B45) 2004
Rubine (B55) 1991; 38
Huang (B27) 2010
Pittman (B50) 1991
Li (B35) 2013
Jian (B28) 2000; 20
Kara (B30) 2005; 29
Linderman (B39) 2009; 4
McKeague (B41) 2005; 100
Tappert (B64) 1982; 26
Pu (B52) 2009; 41
Field (B20) 2010; 34
Yang (B73) 2016; 207
Fougner (B21) 2014; 11
Cho (B13) 2006; 176
Cao (B7) 2005
Chowdhury (B14) 2013
Geethanjali (B22) 2011; 34
Martí (B40) 2013; 99
Chen (B8) 2007
Farina (B18) 2014; 22
Kristensson (B32) 2004
Zhou (B75) 2003; 7
Andreasen (B3) 2006
Lansari (B34) 2003
Wheeler (B69) 2003; 2
Xing (B72) 2015; 148
Myers (B42) 1981; 60
Robertson (B54) 2013
Kiguchi (B31) 2012; 42
Ren (B53) 2004
Jiang (B29) 2014; 11
Olsen (B48) 2009; 33
Anderson (B2) 2004
Hammond (B25) 2011; 1
Li (B36) 2003
Landeras (B33) 2012; 62
Li (B37) 2010
Okorokova (B46) 2015; 9
Chen (B11) 2015; 168
Olofsson (B47) 2007
Poosapadi Arjunan (B51) 2010; 7
Schön (B58) 1983
Asano (B5) 2010
Tang (B63) 2014; 14
Chen (B10) 2014; 10
de Almeida (B15) 2013; 23
Earley (B16) 2016; 10
Hahne (B24) 2014; 22
Wilson (B70) 2003
Sezgin (B60) 2005
Chen (B9) 2008
Li (B38) 2015; 137
Ardalani-Farsa (B4) 2010; 73
Oskoei (B49) 2007; 2
Nan (B43) 2003; 21
Rupasov (B56) 2012; 7
Ahsan (B1) 2009; 33
Schmieder (B57) 2009
Wobbrock (B71) 2007
24608685 - IEEE Trans Neural Syst Rehabil Eng. 2014 Mar;22(2):269-79
21096658 - Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4902-5
22334026 - IEEE Trans Syst Man Cybern B Cybern. 2012 Aug;42(4):1064-71
26578856 - Front Neurosci. 2015 Oct 29;9:389
12848352 - IEEE Trans Biomed Eng. 2003 Jul;50(7):848-54
24727501 - Sensors (Basel). 2014 Apr 10;14(4):6677-94
24775602 - J Neuroeng Rehabil. 2014 Apr 28;11:75
20161381 - Comput Aided Des. 2009 Dec 1;41(12):857-864
26941599 - Front Neurosci. 2016 Feb 23;10:58
25012766 - J Neuroeng Rehabil. 2014 Jul 10;11:110
24760934 - IEEE Trans Neural Syst Rehabil Eng. 2014 Jul;22(4):797-809
24110145 - Conf Proc IEEE Eng Med Biol Soc. 2013;2013:2144-7
20729161 - IEEE Trans Biomed Eng. 2011 Mar;58(3):681-8
23642842 - J Electromyogr Kinesiol. 2013 Aug;23(4):838-43
19707562 - PLoS One. 2009 Aug 26;4(8):e6791
20964863 - J Neuroeng Rehabil. 2010 Oct 21;7:53
22984455 - PLoS One. 2012;7(9):e43945
21193383 - IEEE Trans Neural Syst Rehabil Eng. 2011 Apr;19(2):186-92
21667211 - Australas Phys Eng Sci Med. 2011 Sep;34(3):419-27
References_xml – start-page: 56
  volume-title: RO-MAN, 2010 IEEE
  year: 2010
  ident: B5
  article-title: Visual interface system by character handwriting gestures in the air
– volume: 1
  start-page: 4
  year: 2011
  ident: B25
  article-title: Recognizing sketched multistroke primitives
  publication-title: ACM Trans. Interact. Intell. Syst.
  doi: 10.1145/2030365.2030369
– volume: 9
  start-page: 1742
  year: 2012
  ident: B12
  article-title: Analysis of handwriting velocity to identify handwriting process from electromyographic signals
  publication-title: Am. J. Appl. Sci.
  doi: 10.3844/ajassp.2012.1742.1756
– volume: 14
  start-page: 89
  year: 2003
  ident: B59
  article-title: Support value of sketching in the design process
  publication-title: Res. Eng. Design
  doi: 10.1007/s00163-002-0028-7
– start-page: 281
  volume-title: Proceedings of the 10th International Conference on Intelligent User Interfaces
  year: 2005
  ident: B60
  article-title: Hmm-based efficient sketch recognition
  doi: 10.1145/1040830.1040899
– volume: 24
  start-page: 135
  year: 2003
  ident: B66
  article-title: Sketching, concept development and automotive design
  publication-title: Design Studies
  doi: 10.1016/S0142-694X(02)00035-2
– volume: 34
  start-page: 419
  year: 2011
  ident: B22
  article-title: Identification of motion from multi-channel emg signals for control of prosthetic hand
  publication-title: Aust. Phys. Eng. Sci. Med.
  doi: 10.1007/s13246-011-0079-z
– volume: 100
  start-page: 231
  year: 2005
  ident: B41
  article-title: A statistical model for signature verification
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214504000000827
– volume: 168
  start-page: 871
  year: 2015
  ident: B11
  article-title: Eyebrow emotional expression recognition using surface emg signals
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2015.05.037
– start-page: 2144
  volume-title: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  year: 2013
  ident: B35
  article-title: Improvements on emg-based handwriting recognition with DTW algorithm
– volume: 4
  start-page: e6791
  year: 2009
  ident: B39
  article-title: Recognition of handwriting from electromyography
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0006791
– volume: 50
  start-page: 848
  year: 2003
  ident: B17
  article-title: A robust, real-time control scheme for multifunction myoelectric control
  publication-title: IEEE Trans. Biomed. Eng.
  doi: 10.1109/TBME.2003.813539
– volume: 7
  start-page: 1
  year: 2010
  ident: B51
  article-title: Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors
  publication-title: J. Neuroeng. Rehabil.
  doi: 10.1186/1743-0003-7-53
– volume: 81
  start-page: 199
  year: 2014
  ident: B6
  article-title: Concurrent sketching model for the industrial product conceptual design
  publication-title: Dyna
  doi: 10.15446/dyna.v81n187.41068
– start-page: 506
  volume-title: Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  year: 2007
  ident: B8
  article-title: Multiple hand gesture recognition based on surface emg signal
  doi: 10.1109/ICBBE.2007.133
– start-page: 17
  volume-title: International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
  year: 2010
  ident: B37
  article-title: Automatic recognition of sign language subwords based on portable accelerometer and emg sensors
  doi: 10.1145/1891903.1891926
– start-page: 1
  volume-title: Proceedings of the CHI
  year: 2013
  ident: B68
  article-title: Handwriting and gestures in the air, recognizing on the fly
– volume: 21
  start-page: 113
  year: 2003
  ident: B43
  article-title: Emg-based motion discrimination using a novel recurrent neural network
  publication-title: J. Intell. Inform. Syst.
  doi: 10.1023/A:1024706431807
– volume: 33
  start-page: 480
  year: 2009
  ident: B1
  article-title: Emg signal classification for human computer interaction: a review
  publication-title: Eur. J. Sci. Res.
– volume: 34
  start-page: 499
  year: 2010
  ident: B20
  article-title: The effect of task on classification accuracy: Using gesture recognition techniques in free-sketch recognition
  publication-title: Comput. Graph.
  doi: 10.1016/j.cag.2010.07.001
– volume: 22
  start-page: 797
  year: 2014
  ident: B18
  article-title: The extraction of neural information from the surface emg for the control of upper-limb prostheses: emerging avenues and challenges
  publication-title: IEEE Trans. Neural Syst. Rehabil. Eng.
  doi: 10.1109/TNSRE.2014.2305111
– start-page: 271
  volume-title: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  year: 1991
  ident: B50
  article-title: Recognizing handwritten text
  doi: 10.1145/108844.108914
– start-page: 15
  volume-title: AAAI Fall Symposium
  year: 2004
  ident: B2
  article-title: Hidden markov model symbol recognition for sketch-based interfaces
– volume: 26
  start-page: 101
  year: 2005
  ident: B67
  article-title: How sketching can affect the idea generation process in design group meetings
  publication-title: Design Studies
  doi: 10.1016/j.destud.2004.08.003
– volume: 10
  issue: 58
  year: 2016
  ident: B16
  article-title: Dual window pattern recognition classifier for improved partial-hand prosthesis control
  publication-title: Front. Neurosci.
  doi: 10.3389/fnins.2016.00058
– volume: 137
  start-page: 1
  year: 2015
  ident: B38
  article-title: Free-hand sketch recognition by multi-kernel feature learning
  publication-title: Comput. Vis. Image Understanding
  doi: 10.1016/j.cviu.2015.02.003
– volume: 10
  start-page: 7939
  year: 2014
  ident: B10
  article-title: An sEMG-based attitude recognition method of nodding and head-shaking for interactive optimization
  publication-title: J. Comput. Inform. Syst.
  doi: 10.12733/jcis11587
– volume: 73
  start-page: 2540
  year: 2010
  ident: B4
  article-title: Chaotic time series prediction with residual analysis method using hybrid elman–narx neural networks
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2010.06.004
– volume: 23
  start-page: 297
  year: 2012
  ident: B65
  article-title: Constructive simulation of creative concept generation process in design: a research method for difficult-to-observe design-thinking processes
  publication-title: J. Eng. Design
  doi: 10.1080/09544828.2011.637191
– volume: 22
  start-page: 269
  year: 2014
  ident: B24
  article-title: Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control
  publication-title: IEEE Trans. Neural Syst. Rehabil. Eng.
  doi: 10.1109/TNSRE.2014.2305520
– volume: 35
  start-page: 54
  year: 2014
  ident: B62
  article-title: Creative segment: a descriptive theory applied to computer-aided sketching
  publication-title: Design Studies
  doi: 10.1016/j.destud.2013.10.003
– volume: 62
  start-page: 1
  year: 2012
  ident: B33
  article-title: Comparison of gene expression programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the basque country (northern spain)
  publication-title: Energy Convers. Manage.
  doi: 10.1016/j.enconman.2012.03.025
– start-page: 120
  volume-title: AAAI Fall Symposium
  year: 2004
  ident: B45
  article-title: Off-line sketch interpretation
– volume: 13
  start-page: 87
  year: 2001
  ident: B19
  article-title: Gene expression programming: a new adaptive algorithm for solving problems
  publication-title: Eprint Arxiv Cs
– volume: 9
  issue: 389
  year: 2015
  ident: B46
  article-title: A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings
  publication-title: Front. Neurosci.
  doi: 10.3389/fnins.2015.00389
– volume: 7
  start-page: e43945
  year: 2012
  ident: B56
  article-title: Time-dependent statistical and correlation properties of neural signals during handwriting
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0043945
– volume: 20
  start-page: 56
  year: 2000
  ident: B28
  article-title: Some advances in the research of semg signal analysis and its application
  publication-title: Sports Sci.
– volume: 23
  start-page: 838
  year: 2013
  ident: B15
  article-title: An electromyographic analysis of two handwriting grasp patterns
  publication-title: J. Electromyogr. Kinesiol.
  doi: 10.1016/j.jelekin.2013.04.004
– volume-title: How to Draw: Drawing and Sketching Objects and Environments From Your Imagination
  year: 2013
  ident: B54
– volume-title: The Reflective Practitioner: How Professionals Think in Action
  year: 1983
  ident: B58
– start-page: 159
  volume-title: Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology
  year: 2007
  ident: B71
  article-title: Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes
  doi: 10.1145/1294211.1294238
– start-page: 1
  volume-title: Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  year: 2008
  ident: B9
  article-title: Sketching in the air: a vision-based system for 3d object design
– volume: 2
  start-page: 56
  year: 2003
  ident: B69
  article-title: Gestures as input: neuroelectric joysticks and keyboards
  publication-title: IEEE Pervasive Comput.
  doi: 10.1109/MPRV.2003.1203754
– start-page: 523
  volume-title: Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on
  year: 2004
  ident: B53
  article-title: Subject-independent natural action recognition
– volume-title: Design Sketching:[Including an Extensive Collection of Inspiring Sketches by 24 Students at the Umeå Institute of Design]
  year: 2007
  ident: B47
– volume: 99
  start-page: 176
  year: 2013
  ident: B40
  article-title: Artificial neural networks vs. gene expression programming for estimating outlet dissolved oxygen in micro-irrigation sand filters fed with effluents
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2013.08.016
– volume: 7
  start-page: 519
  year: 2003
  ident: B75
  article-title: Evolving accurate and compact classification rules with gene expression programming
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2003.819261
– volume: 176
  start-page: 1290
  year: 2006
  ident: B13
  article-title: A new gesture recognition algorithm and segmentation method of korean scripts for gesture-allowed ink editor
  publication-title: Inform. Sci.
  doi: 10.1016/j.ins.2005.04.006
– volume: 38
  start-page: 329
  year: 1991
  ident: B55
  article-title: Specifying gestures by example
  publication-title: Acm Siggraph Comput. Graph.
  doi: 10.1145/127719.122753
– start-page: 187
  volume-title: Proceedings of Graphics Interface 2005
  year: 2005
  ident: B7
  article-title: Evaluation of an on-line adaptive gesture interface with command prediction
– volume: 42
  start-page: 1064
  year: 2012
  ident: B31
  article-title: An EMG-based control for an upper-limb power-assist exoskeleton robot
  publication-title: IEEE Trans. Syst. Man Cybern. B Cybern.
  doi: 10.1016/j.cag.2005.05.004
– start-page: 1064
  volume-title: Annual Conference of the Rehabilitation Engineering and Assistive Technology Society of North America
  year: 2006
  ident: B3
  article-title: Electromyographic switch navigation of power wheelchairs
– volume: 14
  start-page: 6677
  year: 2014
  ident: B63
  article-title: An upper-limb power-assist exoskeleton using proportional myoelectric control
  publication-title: Sensors
  doi: 10.3390/s140406677
– volume: 26
  start-page: 765
  year: 1982
  ident: B64
  article-title: Cursive script recognition by elastic matching
  publication-title: IBM J. Res. Dev.
  doi: 10.1147/rd.266.0765
– volume: 11
  start-page: 1
  year: 2014
  ident: B29
  article-title: A state-based, proportional myoelectric control method: online validation and comparison with the clinical state-of-the-art
  publication-title: J. Neuroeng. Rehabil.
  doi: 10.1186/1743-0003-11-110
– volume-title: Sketches of Thought
  year: 1995
  ident: B23
  doi: 10.7551/mitpress/6270.001.0001
– volume-title: Incremental Sketch Understanding for Intention Extraction in Sketch-based User Interfaces
  year: 2003
  ident: B36
– start-page: 411
  volume-title: ICoRD'13
  year: 2013
  ident: B14
  article-title: Muscle computer interface: a review
  doi: 10.1007/978-81-322-1050-4_33
– volume: 11
  start-page: 75
  year: 2014
  ident: B21
  article-title: System training and assessment in simultaneous proportional myoelectric prosthesis control
  publication-title: J. Neuroeng. Rehabil.
  doi: 10.1186/1743-0003-11-75
– start-page: 4902
  volume-title: Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  year: 2010
  ident: B27
  article-title: An emg-based handwriting recognition through dynamic time warping
  doi: 10.1109/IEMBS.2010.5627246
– volume: 58
  start-page: 681
  year: 2011
  ident: B44
  article-title: Simultaneous and proportional force estimation for multifunction myoelectric prostheses using mirrored bilateral training
  publication-title: IEEE Trans. Biomed. Eng.
  doi: 10.1109/TBME.2010.2068298
– start-page: 545
  volume-title: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  year: 2003
  ident: B70
  article-title: Xwand: Ui for intelligent spaces
  doi: 10.1145/642611.642706
– start-page: 2193
  volume-title: Neural Networks, 2003. Proceedings of the International Joint Conference on
  year: 2003
  ident: B34
  article-title: A novel electromyography (emg) based classification approach for arabic handwriting
  doi: 10.1109/IJCNN.2003.1223748
– volume: 19
  start-page: 186
  year: 2011
  ident: B61
  article-title: Determining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay
  publication-title: IEEE Trans. Neural Syst. Rehabil. Eng.
  doi: 10.1109/TNSRE.2010.2100828
– start-page: 85
  volume-title: Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
  year: 2009
  ident: B57
  article-title: Automatic evaluation of sketch recognizers
  doi: 10.1145/1572741.1572757
– start-page: 43
  volume-title: Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology
  year: 2004
  ident: B32
  article-title: Shark2: a large vocabulary shorthand writing system for pen-based computers
  doi: 10.1145/1029632.1029640
– volume: 60
  start-page: 1389
  year: 1981
  ident: B42
  article-title: A comparative study of several dynamic time-warping algorithms for connected-word recognition
  publication-title: Bell Syst. Tech. J.
  doi: 10.1002/j.1538-7305.1981.tb00272.x
– volume: 33
  start-page: 85
  year: 2009
  ident: B48
  article-title: Sketch-based modeling: a survey
  publication-title: Comput. Graph.
  doi: 10.1016/j.cag.2008.09.013
– volume: 41
  start-page: 857
  year: 2009
  ident: B52
  article-title: Automated freehand sketch segmentation using radial basis functions
  publication-title: Comput. Aided Design
  doi: 10.1016/j.cad.2009.05.005
– volume: 148
  start-page: 619
  year: 2015
  ident: B72
  article-title: Emotion-driven chinese folk music-image retrieval based on de-svm
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2014.08.007
– volume: 2
  start-page: 275
  year: 2007
  ident: B49
  article-title: Myoelectric control systems a survey
  publication-title: Biomed. Signal Process. Control
  doi: 10.1016/j.bspc.2007.07.009
– volume: 207
  start-page: 568
  year: 2016
  ident: B73
  article-title: Surface emg based handgrip force predictions using gene expression programming
  publication-title: Neurocomputing
  doi: 10.1016/j.neucom.2016.05.038
– volume: 29
  start-page: 501
  year: 2005
  ident: B30
  article-title: An image-based, trainable symbol recognizer for hand-drawn sketches
  publication-title: Comput. Graph.
  doi: 10.1016/j.cag.2005.05.004
– reference: 24110145 - Conf Proc IEEE Eng Med Biol Soc. 2013;2013:2144-7
– reference: 23642842 - J Electromyogr Kinesiol. 2013 Aug;23(4):838-43
– reference: 22334026 - IEEE Trans Syst Man Cybern B Cybern. 2012 Aug;42(4):1064-71
– reference: 19707562 - PLoS One. 2009 Aug 26;4(8):e6791
– reference: 24608685 - IEEE Trans Neural Syst Rehabil Eng. 2014 Mar;22(2):269-79
– reference: 12848352 - IEEE Trans Biomed Eng. 2003 Jul;50(7):848-54
– reference: 20729161 - IEEE Trans Biomed Eng. 2011 Mar;58(3):681-8
– reference: 22984455 - PLoS One. 2012;7(9):e43945
– reference: 26578856 - Front Neurosci. 2015 Oct 29;9:389
– reference: 21667211 - Australas Phys Eng Sci Med. 2011 Sep;34(3):419-27
– reference: 20161381 - Comput Aided Des. 2009 Dec 1;41(12):857-864
– reference: 24760934 - IEEE Trans Neural Syst Rehabil Eng. 2014 Jul;22(4):797-809
– reference: 21096658 - Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4902-5
– reference: 24727501 - Sensors (Basel). 2014 Apr 10;14(4):6677-94
– reference: 25012766 - J Neuroeng Rehabil. 2014 Jul 10;11:110
– reference: 20964863 - J Neuroeng Rehabil. 2010 Oct 21;7:53
– reference: 26941599 - Front Neurosci. 2016 Feb 23;10:58
– reference: 21193383 - IEEE Trans Neural Syst Rehabil Eng. 2011 Apr;19(2):186-92
– reference: 24775602 - J Neuroeng Rehabil. 2014 Apr 28;11:75
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Snippet Sketching is one of the most important processes in the conceptual stage of design. Previous studies have relied largely on the analyses of sketching process...
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StartPage 445
SubjectTerms Algorithms
Arm
Classification
Computers
Design
Designers
Electromyography
Forearm
Gene expression
Gene Expression Programming
Image retrieval
Industrial design
Interactive computer systems
Muscle computer interface
Muscles
Neural networks
Neuroscience
Pattern recognition
Principal components analysis
Research methodology
Sketching
Studies
surface electromyography
User interface
User training
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Title Surface EMG-based Sketching Recognition Using Two Analysis Windows and Gene Expression Programming
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