Development of an IoT-Based Prosthetic Control System
暂无分享,去创建一个
Hiroshi Okumura | Kohei Arai | Nan Bu | Yuta Takahashi | Osamu Fukuda | N. Bu | O. Fukuda | K. Arai | H. Okumura | Yuta Takahashi
[1] Toshiyuki Kondo,et al. A Prosthetic Hand Control Based on Nonstationary EMG at the Start of Movement , 2007, J. Robotics Mechatronics.
[2] Dario Farina,et al. Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis , 2015, Journal of neural engineering.
[3] Toshio Tsuji,et al. Development of A Five-finger Prosthetic Hand Using Ultrasonic Motors Controlled by Two EMG Signals , 2002, J. Robotics Mechatronics.
[4] Nitish V. Thakor,et al. Radio frequency identification — An innovative solution to guide dexterous prosthetic hands , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[5] O. Stavdahl,et al. Control of Upper Limb Prostheses: Terminology and Proportional Myoelectric Control—A Review , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[6] Timothy Bretl,et al. Automatic grasp selection using a camera in a hand prosthesis , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[7] Dario Farina,et al. A Multi-Class Proportional Myocontrol Algorithm for Upper Limb Prosthesis Control: Validation in Real-Life Scenarios on Amputees , 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[8] Øyvind Stavdahl,et al. A multi-modal approach for hand motion classification using surface EMG and accelerometers , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[9] Kuo-Hui Yeh,et al. A Secure IoT-Based Healthcare System With Body Sensor Networks , 2016, IEEE Access.
[10] Zeng-Guang Hou,et al. Combined use of sEMG and accelerometer in hand motion classification considering forearm rotation , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[11] Honghai Liu,et al. Multi-Modal Sensing Techniques for Interfacing Hand Prostheses: A Review , 2015, IEEE Sensors Journal.
[12] Anurag Agarwal,et al. The Internet of Things—A survey of topics and trends , 2015, Inf. Syst. Frontiers.
[13] Strahinja Došen,et al. Cognitive vision system for control of dexterous prosthetic hands: Experimental evaluation , 2010, Journal of NeuroEngineering and Rehabilitation.
[14] Christian Cipriani,et al. The SmartHand transradial prosthesis , 2011, Journal of NeuroEngineering and Rehabilitation.
[15] Toshio Tsuji,et al. A log-linearized Gaussian mixture network and its application to EEG pattern classification , 1999, IEEE Trans. Syst. Man Cybern. Part C.
[16] Kyung-Sup Kwak,et al. The Internet of Things for Health Care: A Comprehensive Survey , 2015, IEEE Access.
[17] Toshio Tsuji,et al. A human-assisting manipulator teleoperated by EMG signals and arm motions , 2003, IEEE Trans. Robotics Autom..
[18] Andreas Willig,et al. Protocols and Architectures for Wireless Sensor Networks , 2005 .
[19] Dario Farina,et al. The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[20] Sethu Vijayakumar,et al. Real-time classification of multi-modal sensory data for prosthetic hand control , 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).
[21] Manfredo Atzori,et al. Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market Overview , 2015, Front. Syst. Neurosci..