5 citations · 10 across the 13 of their papers we have counts for
8 papers · 1 filter
STREAMS: An Assistive Multimodal AI Framework for Empowering Biosignal Based Robotic Controls
Ali Rabiee, Sima Ghafoori, Xiangyu Bai +2
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 muscl…
Toward human-centered shared autonomy AI paradigms for human-robot teaming in healthcare
Reza Abiri, Ali Rabiee, Sima Ghafoori +1
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…
Precision Enhancement in Sustained Visual Attention Training Platforms: Offline EEG Signal Analysis for Classifier Fine-Tuning
Maryam Norouzi, Mohammad Zaeri Amirani, Yalda Shahriari +1
In this study, a novel open-source brain-computer interface (BCI) platform was developed to decode scalp electroencephalography (EEG) signals associated with sustained attention. T…
A novel seamless magnetic-based actuating mechanism for end-effector-based robotic rehabilitation platforms
Sima Ghafoori, Ali Rabiee, Maryam Norouzi +2
Rehabilitation robotics continues to confront substantial challenges, particularly in achieving smooth, safe, and intuitive human-robot interactions for upper limb motor training.…
Classification of Emerging Neural Activity from Planning to Grasp Execution using a Novel EEG-Based BCI Platform
Anna Cetera, Ali Rabiee, Sima Ghafoori +1
There have been different reports of developing Brain-Computer Interface (BCI) platforms to investigate the noninvasive electroencephalography (EEG) signals associated with plan-to…
A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems
Ali Rabiee, Sima Ghafoori, Anna Cetera +3
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 inte…
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types
Ali Rabiee, Sima Ghafoori, Anna Cetera +1
This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosthetic development and Brain-Computer Interface (BCI) applications, especially for…
Bispectrum Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types
Sima Ghafoori, Ali Rabiee, Anna Cetera +1
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…