The invention relates to an adaptive panel angle adjustment method and
system based on hidden space data fusion, a storage medium and equipment. The method comprises the following steps: S1, acquiring human face and
light field environment information by using a camera and a photosensitive element respectively; s2, establishing a
head posture estimation model and a
light field model by using an
artificial neural network, and extracting related features; s3, establishing a multi-
modal fusion framework based on Transform, performing
interconnection fusion on features output by the
head posture estimation model and the
light field model, and outputting multi-
modal fusion features; and S4, inputting the multi-
modal fusion features into a full-connection layer, outputting a final result, and obtaining an optimal adjustment angle of the panel support. According to the method, a camera and a photosensitive element are adopted to collect face information and light field information respectively, a deep neural network is utilized to establish a
head posture estimation model and a light field model, the two models are interconnected and fused, and finally, the optimal
visual angle is output through the fused model, so that self-adaptive adjustment of the panel is achieved.