通过人工智能识别面部情绪

Jesús A. Ballesteros, G. Ramírez V., Fernando Moreira, Andrés Solano, C. Peláez
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摘要

本文介绍了一项采用人工智能(AI)的研究,该研究利用计算机视觉算法,在用户与各种视觉刺激进行交互的过程中,检测视频内容中的人类情绪。该研究旨在通过利用人工智能算法和图像处理管道来识别用户的面部表情,从而揭示能够进行情绪检测的软件的创建过程。这一过程包括通过图像对用户进行评估,并根据定义情绪及其可识别特征的心理学理论促进计算机视觉算法的实施。研究证明了通过卷积神经网络(CNN)和基于面部表情的软件开发和培训进行情绪识别的可行性。研究结果表明,情绪识别是成功的;但是,要提高识别的精确度,还需要对更多不同的图像进行进一步的训练,并采用更多的算法来区分密切相关的情绪模式。讨论和结论强调了人工智能和计算机视觉算法在情绪检测方面的潜力,为软件开发、持续培训和不断发展的情绪识别技术提供了见解。在使用更多不同图像的情况下,有必要进行进一步的培训,同时采用更多能够有效区分描述密切相关情绪模式的面部表情的算法,以提高确定性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Facial emotion recognition through artificial intelligence
This paper introduces a study employing artificial intelligence (AI) to utilize computer vision algorithms for detecting human emotions in video content during user interactions with diverse visual stimuli. The research aims to unveil the creation of software capable of emotion detection by leveraging AI algorithms and image processing pipelines to identify users' facial expressions. The process involves assessing users through images and facilitating the implementation of computer vision algorithms aligned with psychological theories defining emotions and their recognizable features. The study demonstrates the feasibility of emotion recognition through convolutional neural networks (CNN) and software development and training based on facial expressions. The results highlight successful emotion identification; however, precision improvement necessitates further training for contexts with more diverse images and additional algorithms to distinguish closely related emotional patterns. The discussion and conclusions emphasize the potential of A.I. and computer vision algorithms in emotion detection, providing insights into software development, ongoing training, and the evolving landscape of emotion recognition technology. Further training is necessary for contexts with more diverse images, alongside additional algorithms that can effectively distinguish between facial expressions depicting closely related emotional patterns, enhancing certainty and accuracy.
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