The proliferation of miniaturized electronics has fueled a shift toward wearable sensors and feedback devices for the mass population. Quantified self and other similar movements …
P Slade, A Habib, JL Hicks… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Objective: Analyzing human motion is essential for diagnosing movement disorders and guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease …
Physical fatigue is a major health and safety–related problem among construction workers. Many previous studies relied on interviews and/or questionnaire to assess physical fatigue …
This paper describes a hands-off socially assistive therapist robot designed to monitor, assist, encourage, and socially interact with post-stroke users engaged in rehabilitation …
Linking human motion and natural language is of great interest for the generation of semantic representations of human activities as well as for the generation of robot activities …
Commercial motion-capture systems produce excellent in-studio reconstructions, but offer no comparable solution for acquisition in everyday environments. We present a system for …
Background Although there is a great deal of success in rehabilitative robotics applied to patient recovery post stroke, most of the research to date has dealt with providing physical …
In this paper, we present TeachNet, a novel neural network architecture for intuitive and markerless vision-based teleoperation of dexterous robotic hands. Robot joint angles are …
F Brizzi, L Peppoloni, A Graziano… - … on Human-Machine …, 2017 - ieeexplore.ieee.org
Teleoperation in robotic embodiments allows operators to perform and program manipulation tasks with better accuracy, dexterity, and visualization than what is possible …