# Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface

arXiv: https://arxiv.org/abs/2203.08648 · HTML: https://mlsanity.com/paper/2203.08648/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 43 references that are in the map.
- First posted on arXiv 16 Mar 2022.

## Builds on (most cited first, 3 of 3)

- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control](https://mlsanity.com/paper/2103.13452/) (2021)
- [Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses](https://mlsanity.com/paper/2001.08805/) (2020)

## Abstract (arXiv)

Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines. Methods: Here we present a neuroprosthetic system to demonstrate that principle by employing an artificial intelligence (AI) agent to translate the amputee's movement intent through a peripheral nerve interface. The AI agent is designed based on the recurrent neural network (RNN) and could simultaneously decode six degree-of-freedom (DOF) from multichannel nerve data in real-time. The decoder's performance is characterized in motor decoding experiments with three human amputees. Results: First, we show the AI agent enables amputees to intuitively control a prosthetic hand with individual finger and wrist movements up to 97-98% accuracy. Second, we demonstrate the AI agent's real-time performance by measuring the reaction time and information throughput in a hand gesture matching task. Third, we investigate the AI agent's long-term uses and show the decoder's robust predictive performance over a 16-month implant duration. Conclusion & significance: Our study demonstrates the potential of AI-enabled nerve technology, underling the next generation of dexterous and intuitive prosthetic hands.