WiMi Developed Virtual Digital Human Perceptive System

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[{"type":"text","content":"BEIJING, Aug. 14, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced that a digital human perceptive system has been developed, which realizes the perception and understanding of the digital human by collecting the user's voice, gesture, facial expression and other information, and transforms them into output in the form of voice, text, image and other forms. The successful development of this perceptive system will make the interaction between the user and the digital human more natural and smooth, providing a new direction and momentum for the development of the digital human industry.\nThe digital human perceptive system developed by WiMi is composed of several technical modules, which are mainly constructed based on the three aspects of speech recognition, gesture recognition and facial expression recognition. The integration and collaboration of these three aspects of technology make the system better able to perceive and understand the user's behaviour, language and emotion, and then realize a more natural and smooth interaction, injecting a new impetus for the development of the digital human industry.\nThe speech recognition is one of the most central modules in the digital human perceptive system. This module converts the user's speech signal into textual information, thus enabling the digital human to understand and respond to the user's speech. In the implementation process, this module analyzes and processes the user's speech and uses natural language processing techniques to convert the resulting speech signal into machine-readable text information.\nThe gesture recognition module is another important component of the digital human perceptive system. It can capture the user's body gesture information through the camera, so as to realize the perceptive and understanding of the user's behavioral movements. In the implementation process, the module uses deep learning algorithms to analyze and recognize the user's gesture information and transform it into a machine-readable data format.\nThe facial expression recognition is also a very important component of the digital human perceptive system. The module can realize the recognition and analysis of the user's facial expression and convert it...

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