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Advanced motion capture technology In the future, through more advanced motion capture technology, AI models will be able to simulate human movements more accurately. This includes more subtle facial expressions and body movements, such as blinking, smiling and even more complex gestures and gestures. models and then train an AI model through deep learning algorithms so that it can naturally reproduce these movements in different scenarios. Detailed simulation of expressions and emotions In addition to basic movements, detailed simulation of expressions and emotions is also an important development direction.
In the future, AI models may use more advanced artificial intelligence techn Armenia WhatsApp Number ologies, such as emotion recognition and generation algorithms, to simulate human emotional expressions. This includes not only facial expressions, but also vocal modulation and body language, allowing virtual models to better resonate emotionally with consumers. Real-time dynamic adjustments As technology develops, AI models will be able to adjust their expressions and movements based on real-time data and consumer interaction. For example, in an online shopping experience, consumers' reactions and preferences can be captured and analyzed in real time, and the .
AI model then adjusts its presentation to better attract and satisfy consumers' needs. The integration of these technologies can not only make AI models more visually realistic and diverse, but also enhance the interactive experience with consumers, making the shopping process more vivid and personalized. With the continuous improvement and popularization of these technologies, AI virtual models will play an increasingly important role in the future e-commerce industry, not only limited to displaying products, but also playing an important role in enhancing consumer experience.
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