Lightmyography Based Decoding of Human Intention Using Temporal Multi-Channel Transformers
Ricardo V. Godoy,Anany Dwivedi,Mojtaba Shahmohammadi,Minas Liarokapis,Ricardo V. Godoy,Anany Dwivedi,Mojtaba Shahmohammadi,Minas Liarokapis
For the development of muscle-machine interfaces (MuMIs), researchers have relied mainly on Electromyography (EMG) signals. However, these signals require complex hardware systems, as well as specialized signal processing and feature extraction methods. To overcome these issues, in our previous work, we proposed a novel MuMI for decoding human intention and motion, called Lightmyography (LMG). To ...
