Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ghafoori, Sima"'
End-effector based assistive robots face persistent challenges in generating smooth and robust trajectories when controlled by human's noisy and unreliable biosignals such as muscle activities and brainwaves. The produced endpoint trajectories are of
Externí odkaz:
http://arxiv.org/abs/2410.03486
With recent advancements in AI and computation tools, intelligent paradigms emerged to empower different fields such as healthcare robots with new capabilities. Advanced AI robotic algorithms (e.g., reinforcement learning) can be trained and develope
Externí odkaz:
http://arxiv.org/abs/2407.17464
Rehabilitation robotics continues to confront substantial challenges, particularly in achieving smooth, safe, and intuitive human-robot interactions for upper limb motor training. Many current systems depend on complex mechanical designs, direct phys
Externí odkaz:
http://arxiv.org/abs/2404.01441
There have been different reports of developing Brain-Computer Interface (BCI) platforms to investigate the noninvasive electroencephalography (EEG) signals associated with plan-to-grasp tasks in humans. However, these reports were unable to clearly
Externí odkaz:
http://arxiv.org/abs/2402.03493
The bispectrum stands out as a revolutionary tool in frequency domain analysis, leaping the usual power spectrum by capturing crucial phase information between frequency components. In our innovative study, we have utilized the bispectrum to analyze
Externí odkaz:
http://arxiv.org/abs/2402.01026
A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems
This study aims to enhance BCI applications for individuals with motor impairments by comparing the effectiveness of tripolar EEG (tEEG) with conventional EEG. The focus is on interpreting and decoding various grasping movements, such as power grasp
Externí odkaz:
http://arxiv.org/abs/2402.09448
This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosthetic development and Brain-Computer Interface (BCI) applications, especially for patients with motor disorders. Particularly, it focuses on distinguis
Externí odkaz:
http://arxiv.org/abs/2402.09447
Publikováno v:
In Complementary Therapies in Medicine March 2023 72
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