Our retina-controlled upper-limb prosthesis system won the Best Live Demonstration Award at the IEEE International Conference on Electronic Circuits and Systems.
Although my own eyesight sucks, conventional computer vision can't compete with the average retina in terms of resolution and power consumption.
So using sparse spiking electrical signals generated by retina photoreceptor cells in real-time could potentially assist with rehabilitation, and complement EMG signals to achieving high-precision feedback on a constrained power supply.
We somehow did this whole thing remotely across three continents, with Coen Arrow at the University of Western Australia; Hancong Wu & Kia Nazarpour at the University of Edinburgh, and the University of Michigan.
Code for the retina simulator can be found here: https://github.com/sbbaek-cbnu/artificial_retina_simulator_github/tree/video2spike
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