activity
20192025
most citedXceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification

38 citations · 102 across the 14 of their papers we have counts for

collaborators

15 papers

cs.RO2025

Encoding Biomechanical Energy Margin into Passivity-based Synchronization for Networked Telerobotic Systems

Xingyuan Zhou, Peter Paik, S. Farokh Atashzar

Maintaining system stability and accurate position tracking is imperative in networked robotic systems, particularly for haptics-enabled human-robot interaction. Recent literature…

cs.RO2025

Tunable Passivity Control for Centralized Multiport Networked Systems

Xingyuan Zhou, Peter Paik, S. Farokh Atashzar

Centralized Multiport Networked Dynamic (CMND) systems have emerged as a key architecture with applications in several complex network systems, such as multilateral telerobotics an…

eess.SP20251 cited

A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring

Amir Nassibi, Christos Papavassiliou, Ildar Rakhmatulin +2

Depression disorder is a serious health condition that has affected the lives of millions of people around the world. Diagnosis of depression is a challenging practice that relies…

q-bio.PE2024

PREPARE: PREdicting PAndemic's REcurring Waves Amidst Mutations, Vaccination, and Lockdowns

Narges M. Shahtori, S. Farokh Atashzar

This study releases an adaptable framework that can provide insights to policymakers to predict the complex recurring waves of the pandemic in the medium postemergence of the virus…

cs.RO20221 cited

What Happens When Pneu-Net Soft Robotic Actuators Get Fatigued?

Jacqueline Libby, Aniket A. Somwanshi, Federico Stancati +5

Soft actuators have attracted a great deal of interest in the context of rehabilitative and assistive robots for increasing safety and lowering costs as compared to rigid-body robo…

eess.SP20222 cited

Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains

Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani +3

Designing efficient and labor-saving prosthetic hands requires powerful hand gesture recognition algorithms that can achieve high accuracy with limited complexity and latency. In t…