The research team led by Dr. Song Zhan, the Intelligent Design and Machine Vision Laboratory, Institute of Integration, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, has recently made new achievements in the research of embedded gesture and somatosensory interaction technology. Related achievements have been published in many important academic journals including IEEE Trans. On Image Processing, a top publication in the field of image processing.
Gesture recognition technology is currently a research hotspot in the field of human-computer interaction, among which 2D gesture somatosensory technology involving ordinary cameras is the most concerned. However, the existing gesture recognition technology based on 2D image analysis is difficult to run stably on smart terminal devices due to stability and calculation problems.
In order to solve this problem, the research team led by Dr. Song Zhan has carried out research in this direction three years ago, and has overcome many technical difficulties in gesture detection and recognition in complex environments, and recently completed the algorithm under the embedded platform. Transplanted and optimized so that it can run stably and smoothly on ordinary smart TVs, mobile phones and other devices.
At present, the embedded gesture recognition software developed by the research group has been transformed in Skyworth Group, a leading domestic TV company, and will appear on its next-generation smart TV terminal products.
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