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Joel Stein

8 accepted papers

2025

ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke

RA-L 2025

Intent inferral on a hand orthosis for stroke patients is challenging due to the difficulty of data collection. Additionally, EMG signals exhibit significant variations across different conditions, sessions, and subjects, making it hard for classifiers to generalize. Traditional approaches require a

Cited by 7SourceScholar
2024

Meta-Learning for Fast Adaptation in Intent Inferral on a Robotic Hand Orthosis for Stroke

IROS 2024poster

We propose MetaEMG, a meta-learning approach for fast adaptation in intent inferral on a robotic hand orthosis for stroke. One key challenge in machine learning for assistive and rehabilitative robotics with disabled-bodied subjects is the difficulty of collecting labeled training data. Muscle tone…

Cited by 3SourceScholar
2022

Adaptive Semi-Supervised Intent Inferral to Control a Powered Hand Orthosis for Stroke

ICRA 2022poster

In order to provide therapy in a functional context, controls for wearable robotic orthoses need to be robust and intuitive. We have previously introduced an intuitive, user-driven, EMG-based method to operate a robotic hand orthosis, but the process of training a control that is robust to concept d…

Cited by 8SourceScholar
2022

Thumb Stabilization and Assistance in a Robotic Hand Orthosis for Post-Stroke Hemiparesis

RA-L 2022

We propose a dual-cable method of stabilizing the thumb in the context of a hand orthosis designed for individuals with upper extremity hemiparesis after stroke. This cable network adds opposition/reposition capabilities to the thumb, and increases the likelihood of forming a hand pose that can succ

Cited by 11SourceScholar
2019

Effects of a Person-Following Light-Touch Device During Overground Walking With Visual Perturbations in a Virtual Reality Environment

RA-L 2019

Background: Proprioceptive feedback represents an alternative sensory channel that may be stabilizing in both overground gait in a virtual environment (VE), as well as when using an assistive device for overground gait. A person-following robot could potentially provide more useful proprioceptive fe

Cited by 15SourceScholar
2019

Multimodal Sensing and Interaction for a Robotic Hand Orthosis

RA-L 2019

Wearable robotic hand rehabilitation devices can allow greater freedom and flexibility than their workstation-like counterparts. However, the field is generally lacking effective methods by which the user can operate the device: such controls must be effective, intuitive, and robust to the wide rang

Cited by 47SourceScholar
2018

Design and Development of Effective Transmission Mechanisms on a Tendon Driven Hand Orthosis for Stroke Patients

ICRA 2018poster

Tendon-driven hand orthoses have advantages over exoskeletons with respect to wearability and safety because of their low-profile design and ability to fit a range of patients without requiring custom joint alignment. However, no existing study on a wearable tendon-driven hand orthosis for stroke pa…

Cited by 37SourceScholar
2016

On the feasibility of wearable exotendon networks for whole-hand movement patterns in stroke patients

ICRA 2016

Fully wearable hand rehabilitation and assistive devices could extend training and improve quality of life for patients affected by hand impairments. However, such devices must deliver meaningful manipulation capabilities in a small and lightweight package. In this context, this paper investigates t

Cited by 25SourceScholar