Lynne M. Weber — accepted AI-conference papers

2022

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

Jingxi Xu, Cassie Meeker, Ava Chen, Lauren Winterbottom, Michaela Fraser, Sangwoo Park +5

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 8 Source ↗Scholar ↗

2019

Multimodal Sensing and Interaction for a Robotic Hand Orthosis

Sangwoo Park, Cassie Meeker, Lynne M. Weber, Lauri Bishop, Joel Stein, Matei T. Ciocarlie

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 47 Source ↗Scholar ↗