Presentation
73. Digital Twin for Amputees: A Bidirectional Interaction Modeling and Prototype with Convolutional Neural Network
SessionPoster Session 2
DescriptionIn the U.S., over two million amputees struggle with employment due to ergonomic challenges. Digital twins, which create virtual replicas of real-world environments using IoT data, offer potential solutions. This research explores the use of digital twins in creating immersive, virtual rehabilitation environments for amputees, aiming to improve their workplace integration and quality of life. The study introduces a novel application of electromyography (EMG) sensors within a virtual reality (VR) setup to enable real-time interaction between non-amputees and their real-world settings. This system synchronizes real and virtual worlds, allowing for an interactive experience that simulates and enhances traditional digital twin capabilities. In the future, by incorporating EMG data, we would like to optimize the work environment for amputees, ensuring accessibility and efficiency. The findings aim to contribute to the future studies with more inclusive work policies and better ergonomic practices, potentially transforming rehabilitation and employment outcomes for amputees.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aging
Augmented Cognition
Children's Issues
Communications
Cybersecurity
Education
Environmental Design
General Sessions
Human AI Robot Teaming (AI)
Macroergonomics
Occupational Ergonomics
Student Forum
Surface Transportation
Sustainability
System Development