Objective assessment of human workload in physical human-robot cooperation using brain monitoring

AH Memar, ET Esfahani - ACM Transactions on Human-Robot …, 2019 - dl.acm.org
The notions of safe and compliant interaction are not sufficient to ensure effective physical
human-robot cooperation. To obtain an optimal compliant behavior (eg, variable …

[图书][B] Wearable Brain-Computer Interfaces: Prototyping EEG-Based Instruments for Monitoring and Control

P Arpaia, A Esposito, L Gargiulo, N Moccaldi - 2023 - taylorfrancis.com
This book presents a complete overview of the main EEG-based Brain-Computer Interface
(BCI) paradigms and the related practical solutions for their design, prototyping, and testing …

Myotrack: Realtime estimation of subject participation in robotic rehabilitation using semg and imu

S Pareek, H Manjunath, ET Esfahani… - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we present MyoTrack, a realtime classification procedure that identifies levels
of subject participation during robot-assisted rehabilitation using a wearable surface …

High-wearable EEG-based transducer for engagement detection in pediatric rehabilitation

A Apicella, P Arpaia, S Giugliano… - Brain-Computer …, 2022 - Taylor & Francis
ABSTRACT A method for high-wearable EEG-based assessment of pediatric emotional and
cognitive engagement in neuro-motor rehabilitation is proposed. A specific easy calibration …

Development and evaluation of haptics-based rehabilitation system

S Pareek, P Chembrammel… - … Symposium on Medical …, 2018 - ieeexplore.ieee.org
In this paper, we discuss the development and testing of a haptics-based stroke
rehabilitation system. The system involves a 6-degrees of freedom haptic device and a …

iART: Learning from demonstration for assisted robotic therapy using lstm

S Pareek, T Kesavadas - IEEE Robotics and Automation …, 2019 - ieeexplore.ieee.org
In this letter, we present an intelligent Assistant for Robotic Therapy (iART), that provides
robotic assistance during 3D trajectory tracking tasks. We propose a novel LSTM-based …

Online adaptive and attention-based reference path generation for upper-limb rehabilitation robot

Y Zhang, L Cheng - 2021 China Automation Congress (CAC), 2021 - ieeexplore.ieee.org
This paper proposes an online reference path generation method for upper-limb
rehabilitation robots considering the initial motions of the subjects. The proposed system is …

MyoTrack: Tracking subject participation in robotic rehabilitation using sEMG and IMU

S Pareek, H Manjunath, ET Esfahani… - … on Medical Robotics …, 2019 - ieeexplore.ieee.org
In this paper, we present MyoTrack, a two-step classification routine that uses a wearable
surface electromyography (sEMG) sensor to identify the level of subject participation during …

Predicting Human Context-Aware Action Modifications for AI Assistance in Visually Demanding Tasks

K Dalland, JP Distefano… - … and Information in …, 2024 - asmedigitalcollection.asme.org
For a plethora of humanitarian and commercial applications such as medical imaging, air
traffic control, driving, and supervisory control, artificial intelligence is assisting humans in …

Effect of haptic assistance strategy on mental engagement in fine motor tasks

H Manjunatha, S Pareek, AH Memar… - Journal of Medical …, 2020 - World Scientific
This study investigates the effect of haptic control strategies on a subject's mental
engagement during a fine motor handwriting rehabilitation task. The considered control …