Research on Somatosensory Interaction Based on Convolutional Neural Network

Hui Tang, Qing Wang, Hong Chen, Hao Guo

科研成果: 期刊稿件会议文章同行评审

摘要

Somatosensory interaction is an important part of human-computer interaction. The core of somatosensory interaction must accurately obtain the 3D spatial information of the human body. This article uses an RGBD camera to acquire both color and depth images. We Perform 2D human pose estimation in color images using hourglass network with residual structure. At the same time, we use the sparse feature points to align the color map with the depth map in order to accurately map the detection results in color images to the corresponding depth images. The experimental results show that this method can accurately and quickly obtain the 3-dimensional posture information of the human body, which is an important guarantee for somatosensory interaction.

源语言英语
文章编号032019
期刊Journal of Physics: Conference Series
1237
3
DOI
出版状态已出版 - 12 7月 2019
已对外发布
活动2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019 - Xi'an, 中国
期限: 29 3月 201931 3月 2019

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