collaborators

6 papers

eess.SP2026

Cross-Frequency Bispectral EEG Analysis of Reach-to-Grasp Planning and Execution

Sima Ghafoori, Anna Cetera, Ali Rabiee +5

Neural control of grasping arises from nonlinear interactions across multiple brain rhythms, yet EEG-based motor decoding has largely relied on linear, second-order spectral featur…

cs.RO2026

End-to-end Optimization of Belief and Policy Learning in Shared Autonomy Paradigms

MH Farhadi, Ali Rabiee, Sima Ghafoori +3

Shared autonomy systems require principled methods for inferring user intent and determining appropriate assistance levels. This is a central challenge in human-robot interaction,…

eess.SP2025

Macroscopic EEG Reveals Discriminative Low-Frequency Oscillations in Plan-to-Grasp Visuomotor Tasks

Anna Cetera, Sima Ghafoori, Ali Rabiee +3

The vision-based grasping brain network integrates visual perception with cognitive and motor processes for visuomotor tasks. While invasive recordings have successfully decoded lo…

cs.HC2025

Human-Centered Shared Autonomy for Motor Planning, Learning, and Control Applications

MH Farhadi, Ali Rabiee, Sima Ghafoori +3

With recent advancements in AI and computational tools, intelligent paradigms have emerged to enhance fields like shared autonomy and human-machine teaming in healthcare. Advanced…

eess.SP2025

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…

eess.SP2025

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…