Publication & Open for Collaborations !

Wednesday, September 18, 2024 - 10:15

 Exciting News! 

We're thrilled to announce our latest publication in a JCR Q1 journal: "Machine Learning-Based Classification of Body Imbalance and Its Intensity Using Electromyogram and Ground Reaction Force in Immersive Environments." This work highlights the innovative use of machine learning to classify body imbalance and its intensity, achieving up to 98% accuracy. By integrating EMG and GRF data with immersive VR environments, we’re paving the way for advancements in rehabilitative and therapeutic systems.

A special thanks to the Department of Electronic Engineering, Maynooth University for PCB fab support, and our dedicated technical staff for their invaluable support!

All our research is conducted in accordance with the Declaration of Helsinki and has been approved by the Institutional Review Board. We also have active collaborations with hospitals that provide us with invaluable human subject data.
Link to publication: https://www.mdpi.com/2076-3417/14/18/8209

We’re always ready for new collaborations—let's push the boundaries of innovation together!
#Research #Innovation #MachineLearning #Rehabilitation #VR #Biomechanics