Open Access
| Issue |
MATEC Web Conf.
Volume 309, 2020
2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
|
|
|---|---|---|
| Article Number | 04007 | |
| Number of page(s) | 11 | |
| Section | System Design and Optimization | |
| DOI | https://doi.org/10.1051/matecconf/202030904007 | |
| Published online | 04 March 2020 | |
- Li Z, Deng J, Lu R, et al. Trajectory-Tracking Control of Mobile Robot Systems Incorporating Neural-Dynamic Optimized Model Predictive Approach [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2015, 46(6):740–749 [CrossRef] [Google Scholar]
- Ma J, Zhang Y, Cichocki A, et al. A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control [J]. IEEE transactions on bio-medical engineering, 2014, 62(3):876–889. [CrossRef] [Google Scholar]
- Minati L, Yoshimura N, Koike Y. Hybrid Control of a Vision-Guided Robot Arm by EOG, EMG, EEG Biosignals and Head Movement Acquired via a Consumer-Grade Wearable Device[J]. IEEE Access, 2016, 4:9528–9541. [CrossRef] [Google Scholar]
- Khezri M, Jahed M. Real-time intelligent pattern recognition algorithm for surface EMG signals [J]. BioMedical Engineering OnLine, 2007, 6(1):45. [CrossRef] [Google Scholar]
- Veer K, Sharma T. A novel feature extraction for robust EMG pattern recognition [J]. Journal of Medical Engineering & Technology, 2016, 40(4):149–154. [CrossRef] [Google Scholar]
- WU L, HUANG P C, BAO G J. Analysis of Surface EMG Signal and Its Application in Rehabilitation Medicine [J]. Electromechanical Engineering, 2011, 28 (11): 1368–1373. [Google Scholar]
- BAN S. Study on the Acquisition and Processing of Human Upper Limb Surface EMG Signals [D]. Shenyang: Northeastern University, 2012. [Google Scholar]
- Light C M, Chappell P H. Development of a lightweight and adaptable multiple-axis hand prosthesis [J]. Medical Engineering & Physics, 2000, 22 (10):679~684 [CrossRef] [Google Scholar]
- M. Zecca, G. Cappiello, F. Sebastiani, et al. Experimental Analysis Of The Proprioceptive and Exteroceptive Sensors of an Underactuated Prosthetic Hand [J]. International Journal of Human-friendly Welfare Robotic Systems. 2003, 4(4):1~10 [Google Scholar]
- J. L. Pons, E. Rocon, R. Ceres. The MANUS-HAND Dextrous Robotics Upper Limb Prosthesis: Mechanical and Manipulation Aspects [J]. Autonomous Robots. 2004, 16:143–163 [CrossRef] [Google Scholar]
- A. Kargov, T. Werner, C. Pylatiuk, et al. Development of a Miniaturised Hydraulic Actuation System for Artificial Hands [J]. Sensors and Actuators A: Physical. 2008, 141(2):548~557 [CrossRef] [Google Scholar]
- CHEN L L, LI C J, WANG P. Design and implementation of myoelectric prosthetic hand control system based on MYO and Android [J]. Computer Measurement and Control. 2017, 25 (9): 64–67. [Google Scholar]
- Fang Y, Liu H. Robust sEMG electrodes configuration for pattern recognition based prosthesis control[C]. Proceedings of the International Conference on Systems, Man, and Cybernetics. San Diego, United states, Oct 5-8, 2014, Piscataway, NJ: IEEE, 2014:2210–2215. [CrossRef] [Google Scholar]
- ZHANG D H. Research on the Electromyographic Control Method of Bionic Manipulator [D]. Shenyang Ligong University. 2013.3. [Google Scholar]
- SUN Y K, LI Y, YE N. Research on EEG Signal Analysis Method Based on Different Frequency Sound Stimulation [J]. Life Science Instruments, 2007,5 (7): 23–27. [Google Scholar]
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