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Dynamic Action Recognition Under Simulated Prosthetic Vision

Zhao, Ying ; Xu, Dantong ; Wang, Tie ; Ren, Yanchun

2020 International Conference on Networking and Network Applications (NaNA), 2020, p.417-421

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Título:
Dynamic Action Recognition Under Simulated Prosthetic Vision
Autor: Zhao, Ying ; Xu, Dantong ; Wang, Tie ; Ren, Yanchun
Assuntos: Animation ; Dynamic action recognition ; Matlab ; Pattern recognition ; prosthetic vision ; Three-dimensional displays ; Visual prosthesis ; visual simulation
É parte de: 2020 International Conference on Networking and Network Applications (NaNA), 2020, p.417-421
Descrição: Purpose. To assess the recognition pattern of dynamic action by visual prosthesis' wearers. Methods. Twenty volunteers (classified by gender and experience) were recruited to carried out action recognition test in simulated prosthetic vision. Twenty-three common dynamic actions video clips usually see in daily life were selected and formed the experimental action set which was divided into three parts including combined actions, simple actions and difficult actions in turn. The action animations made by 3D Studio Max were recorded by Banicam to convert to MP4 video format and processed to phosphene video clips by MATLAB in different resolutions (16 × 16, 24 × 24, 32 × 32, 48 × 48, 64 × 64, 128 × 128). Result. Comparing the recognition results, male group and female group had no significant difference. 48 × 48 resolution was the considerable latent capacity which subjects had stable performance. After a period of study, the performance of prosthesis wearers could be improved significantly.
Editor: IEEE
Idioma: Inglês

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