Classification of Gripping Movement in Daily Life Using EMG-based Spider Chart and Deep Learning |
Lee, Seong Mun
(Department of Biomedical Engineering, Konyang University)
Pi, Sheung Hoon (Department of Biomedical Engineering, Konyang University) Han, Seung Ho (Department of Biomedical Engineering, Konyang University) Jo, Yong Un (Department of Biomedical Engineering, Konyang University) Oh, Do Chang (Department of Biomedical Engineering, Konyang University) |
1 | Farina D, Pozzo M, Merlo E, Bottin A, Merletti R. Assessment of average muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions. IEEE Transactions on Biomedical Engineering. 2004;51(8):1383-93. DOI |
2 | Mizuno H, Tsujiuchi N, Koizumi T. Forearm motion discrimination technique using real-time EMG signals. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2011;4435-38. |
3 | Wong WK, Juwono FH, Khoo BTT. Multi-Features Capacitive Hand Gesture Recognition Sensor: A Machine Learning Approach. IEEE Sensors Journal. 2021;21(6):8441-50. DOI |
4 | Sagayam KM, Hemanth DJ. Hand posture and gesture recognition techniques for virtual reality applications: a survey. Virtual Reality. 2017;21(2):91-107. DOI |
5 | Andrianesis K, Tzes A. Design of an anthropomorphic prosthetic hand driven by shape memory alloy actuators. 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics. 2008; 517-22. |
6 | Jarque-Bou NJ, Scano A, Atzori M, Muller H. Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset. Journal of NeuroEngineering and Rehabilitation. 2019;63(19). |
7 | Lucas MF, Gaufriau A, Pascual S, Doncarli C, Farina D. Multi-channel surface EMG classification using support vector machines and signal-based wavelet optimization. Biomedical Signal Processing and Control. 2008;3(2):169-74. DOI |
8 | Dalmazzo D, Ramirez R. Bowing Gestures Classification in Violin Performance: A Machine Learning Approach. Frontiers in Psychology. 2019:10. |
9 | Kopuklu O, Kose N, Rigoll G. Motion Fused Frames: Data Level Fusion Strategy for Hand Gesture Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2018;2103-11. |
10 | Bakircioglu K, Ozkurt N. Classification of EMG signals using convolution neural network. International Journal of Applied Mathematics Electronics and Computers. 2020;8(4): 115-9. DOI |
11 | Pisharady PK, Saerbeck M. Recent methods and databases invision-based hand gesture recognition: A review. Computer Vision and Image Understanding. 2015;141:152-165. DOI |
12 | Shen S, Gu K, Chen XR, Yang M, Wang RC. Movements Classification of Multi-Channel sEMG Based on CNN and Stacking Ensemble Learning. IEEE Access. 2019;7:137489-137500. DOI |
13 | Rautaray SS, Agrawal A. Vision based hand gesture recognition for human computer interaction: a survey. Artificial intelligence review. 2015;43(1):1-54. DOI |
14 | Jo YU, Oh DC. Real-Time Hand Gesture Prediction using Deep Learning by EMG Data Acquisition Section. Journal of Institute of Control, Robotics and Systems. 2021;27(5):349-55. DOI |
15 | Liang H, Yuan J, Thalmann D, Thalmann NM. Ar in hand: Egocentric palm pose tracking and gesture recognition for augmented reality applications. Proceedings of the 23rd ACM international conference on Multimedia. New York. USA. 2015;743-44. |
16 | Masum H, Chattopadhyay S, Ray R, Bhaumik S. Spider Chart based Pictographic Image Comparison in Walking Speed Estimation. 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP). 2019;1-4. |
17 | Chen Z, Li G, Fioranelli F, Griffiths H. Dynamic Hand Gesture Classification Based on Multistatic Radar Micro-Doppler Signatures Using Convolutional Neural Network. 2019 IEEE Radar Conference (RadarConf). 2019;1-5. |
18 | Zhu H, Li X Wang L, Chen Z, Shi Y, Zheng S, Li M. IMU Motion Capture Method with Adaptive Tremor Attenuation in Teleoperation Robot System. Sensors. 2022;22(9):3353. DOI |
19 | Yang C, Chang S, Liang P, Li Z, Su CY. Teleoperated robot writing using EMG signals. 2015 IEEE International Conference on Information and Automation. 2015; 2264-69. |
20 | Guo W, Sheng X, Liu H, Zhu X. Toward an Enhanced Human-Machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals. IEEE Transactions on Human-Machine Systems. 2017;47(4):564-75. DOI |