fig1

Figure 1. The developed interface inspired by the data-centric paradigm. (A) Physiological signals with sophisticated spatiotemporal characteristics possess remarkable fundamental separability, driving low-complexity algorithms to achieve high-precision recognition; (B) The developed interface workflow. Sufficient fundamental separability supports reliable gesture recognition on resource-constrained edge devices for real-time interaction. sEMG: Surface electromyography.