Simulating neuroprosthetic vision for emotion recognition

We developed a mobile simulator of phosphene vision, to allow the general public to experience how artificially induced phosphene vision would look like for blind users of a visual prosthesis. This setup allows us to evaluate, compare, and optimize different signal processing algorithms that are used to generate phosphene vision, by carrying out tests on individuals with normal vision. In this demo, we show how intelligent algorithms can improve the quality of perception with prosthetic vision with an image processing pipeline that allows for accurate emotion expression recognition.

C. J. M. Bollen, U. Güçlü, R. J. A. van Wezel, M. A. J. van Gerven and Y. Güçlütürk, “Simulating neuroprosthetic vision for emotion recognition,” 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2019, pp. 85-87,