An Intention-Driven Semi-autonomous Intelligent Robotic System for Drinking
暂无分享,去创建一个
Xin Pan | Siyuan Chen | Yuanqing Li | Jun Qu | Tianyou Yu | Zhijun Zhang | Yongqian Huang | Zhijun Zhang | Yuanqing Li | Tianyou Yu | Siyuan Chen | Jun Qu | Yongqian Huang | Xin Pan
[1] J. Wolpaw,et al. A novel P300-based brain–computer interface stimulus presentation paradigm: Moving beyond rows and columns , 2010, Clinical Neurophysiology.
[2] Daniel Pérez-Marcos,et al. Writing through a robot: a proof of concept for a brain-machine interface. , 2011, Medical engineering & physics.
[3] Miguel A. L. Nicolelis,et al. Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex , 1999, Nature Neuroscience.
[4] Hermano Igo Krebs,et al. MIT-Skywalker: A Novel Gait Neurorehabilitation Robot for Stroke and Cerebral Palsy , 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[5] Tae-Seong Kim,et al. An efficient word typing P300-BCI system using a modified T9 interface and random forest classifier , 2015, Comput. Biol. Medicine.
[6] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[7] Wolfram Burgard,et al. An autonomous robotic assistant for drinking , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[8] A. Lenhardt,et al. An Adaptive P300-Based Online Brain–Computer Interface , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[9] José del R. Millán,et al. Brain-Controlled Wheelchairs: A Robotic Architecture , 2013, IEEE Robotics & Automation Magazine.
[10] R. Jacob Vogelstein,et al. HARMONIE: A multimodal control framework for human assistive robotics , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
[11] Yue Zhao,et al. A Wireless BCI and BMI System for Wearable Robots , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[12] Kwang Suk Park,et al. Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI , 2016, Journal of Neuroscience Methods.
[13] Arjon Turnip,et al. An experiment of lie detection based EEG-P300 classified by SVM algorithm , 2015, 2015 International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT).
[14] Xingyu Wang,et al. A comparison of navigation system based on P300 BCI and SSVEP BCI , 2012, 2012 24th Chinese Control and Decision Conference (CCDC).
[15] Yuanqing Li,et al. A Hybrid BCI System Combining P300 and SSVEP and Its Application to Wheelchair Control , 2013, IEEE Transactions on Biomedical Engineering.
[16] Zhengyou Zhang,et al. A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Cong Wang,et al. A brain-computer interface controlled mail client , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[18] Wei Wu,et al. Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness , 2016, Proceedings of the IEEE.
[19] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.
[20] Michael J. Black,et al. Point-and-Click Cursor Control With an Intracortical Neural Interface System by Humans With Tetraplegia , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[21] Nicolas Y. Masse,et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.
[22] Zhao Wang,et al. How Autonomy Impacts Performance and Satisfaction: Results From a Study With Spinal Cord Injured Subjects Using an Assistive Robot , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[23] Sauro Longhi,et al. Auditory paradigm for a P300 BCI system using spatial hearing , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[24] Touradj Ebrahimi,et al. An efficient P300-based brain–computer interface for disabled subjects , 2008, Journal of Neuroscience Methods.
[25] Yuanqing Li,et al. EEG-based hybrid BCIs and their applications , 2015, The 3rd International Winter Conference on Brain-Computer Interface.
[26] C Grozea,et al. On the feasibility of using motor imagery EEG-based brain–computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up , 2012, Spinal Cord.
[27] N Pouratian,et al. Editorial Note on: On the feasibility of using motor imagery EEG-based brain–computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post trial follow-up , 2012, Spinal Cord.
[28] Qing Zhu,et al. Fuzzy sliding mode control of an upper limb exoskeleton for robot-assisted rehabilitation , 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.
[29] Bertram E. Shi,et al. Hybrid gaze/EEG brain computer interface for robot arm control on a pick and place task , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).