2 citations · 4 across the 14 of their papers we have counts for
14 papers
A Wearable Pneumatic Device for Continuous, Closed-Loop, Bidirectional Tactile Interaction
Cosima du Pasquier, Aliyah Smith, Serin Huber +5
We present a system of two wearable pneumatic haptic devices that supports continuous, closed-loop, bidirectional tactile interaction at perceptually relevant force and temporal sc…
Miniaturized Pneumatic Actuator Array for Multipoint Deep Pressure Tactile Stimulation
Ava Chen, Megan C. Coram, Cosima du Pasquier +1
Wearable distributed tactile devices aim to provide multipoint touch stimuli, but struggle to provide sufficient forces (> 1 N) at frequencies to invoke deep pressure sensation wit…
ReactEMG: Stable, Low-Latency Intent Detection from sEMG via Masked Modeling
Runsheng Wang, Xinyue Zhu, Ava Chen +5
Surface electromyography (sEMG) signals show promise for effective human-machine interfaces, particularly in rehabilitation and prosthetics. However, challenges remain in developin…
Reciprocal Learning of Intent Inferral with Augmented Visual Feedback for Stroke
Jingxi Xu, Ava Chen, Lauren Winterbottom +5
Intent inferral, the process by which a robotic device predicts a user's intent from biosignals, offers an effective and intuitive way to control wearable robots. Classical intent…
Fabric Sensing of Intrinsic Hand Muscle Activity
Katelyn Lee, Runsheng Wang, Ava Chen +9
Wearable robotics have the capacity to assist stroke survivors in assisting and rehabilitating hand function. Many devices that use surface electromyographic (sEMG) for control rel…
Design and Characterization of High Efficiency Single-stage Electromagnetic Coil Guns
Sophia Chen, Annie Peng, Ava Chen +1
This study presents several novel approaches to improve the efficiency of a single-stage coil gun. Conventional designs typically feature a uniformly wound solenoid and a ferrite p…
ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke
Jingxi Xu, Runsheng Wang, Siqi Shang +10
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 diff…
Meta-Learning for Fast Adaptation in Intent Inferral on a Robotic Hand Orthosis for Stroke
Pedro Leandro La Rotta, Jingxi Xu, Ava Chen +5
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 r…
Grasp Force Assistance via Throttle-based Wrist Angle Control on a Robotic Hand Orthosis for C6-C7 Spinal Cord Injury
Joaquin Palacios, Alexandra Deli-Ivanov, Ava Chen +4
Individuals with hand paralysis resulting from C6-C7 spinal cord injuries frequently rely on tenodesis for grasping. However, tenodesis generates limited grasping force and demands…
Volitional Control of the Paretic Hand Post-Stroke Increases Finger Stiffness and Resistance to Robot-Assisted Movement
Ava Chen, Katelyn Lee, Lauren Winterbottom +7
Increased effort during use of the paretic arm and hand can provoke involuntary abnormal synergy patterns and amplify stiffness effects of muscle tone for individuals after stroke,…
Towards Tenodesis-Modulated Control of an Assistive Hand Exoskeleton for SCI
Joaquin Palacios, Alexandra Deli-Ivanov, Ava Chen +4
Restoration of hand function is one of the highest priorities for SCI populations. In this work, we present a prototype of a robotic assistive orthosis capable of implementing teno…
Design of Spiral-Cable Forearm Exoskeleton to Assist Supination for Hemiparetic Stroke Subjects
Ava Chen, Lauren Winterbottom, Katherine O'Reilly +4
We present the development of a cable-based passive forearm exoskeleton that is designed to assist supination for hemiparetic stroke survivors. Our device uniquely provides torque…
Thumb Stabilization and Assistance in a Robotic Hand Orthosis for Post-Stroke Hemiparesis
Ava Chen, Lauren Winterbottom, Sangwoo Park +4
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…
Adaptive Semi-Supervised Intent Inferral to Control a Powered Hand Orthosis for Stroke
Jingxi Xu, Cassie Meeker, Ava Chen +8
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…