PSYONIC Ability Hand with NVIDIA Holoscan: real-time on-device EMG classification enables natural prosthetic control
Summary
PSYONIC and NVIDIA published technical details of their Ability Hand integration with NVIDIA Holoscan for real-time on-device EMG gesture classification at NVIDIA GTC 2026. The Holoscan-powered pipeline processes EMG signals locally on an edge AI chip with <10ms latency — compared to 50-150ms for cloud-based classification — enabling natural-feeling prosthetic control that responds to user intent without perceptible delay. On-device processing also eliminates the need for wireless connectivity, improving reliability in environments with RF interference.
Why it matters
Sub-10ms on-device EMG classification latency from NVIDIA edge AI in a prosthetic hand is a demonstration of what edge inference enables across the entire BCI field. The same architectural principle — move AI inference to the implant or device, eliminate cloud latency — applies to cochlear implants, spinal cord stimulators, and BCIs. PSYONIC-NVIDIA GTC demonstration normalizes this architecture for the medical device industry.
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