In recent years, there has been an increasing interest in the use of artificial intelligence (AI) and extended reality (XR) in the beauty industry. In this paper, we present an AI-assisted skin care recommendation system integrated into an XR platform. The system uses a convolutional neural network (CNN) to analyse an individual's skin type and recommend personalised skin care products in an immersive and interactive manner. Our methodology involves collecting data from individuals through a questionnaire and conducting skin analysis using a provided facial image in an immersive environment. This data is then used to train the CNN model, which recognises the skin type and existing issues and allows the recommendation engine to suggest personalised skin care products. We evaluate our system in terms of the accuracy of the CNN model, which achieves an average score of 93% in correctly classifying existing skin issues. Being integrated into an XR system, this approach has the potential to significantly enhance the beauty industry by providing immersive and engaging experiences to users, leading to more efficient and consistent skincare routines.

翻译：近年来，人工智能与扩展现实技术在美容行业的应用日益受到关注。本文提出了一种集成于扩展现实平台的AI辅助护肤推荐系统。该系统采用卷积神经网络分析个体肤质，以沉浸式交互方式推荐个性化护肤产品。我们的方法通过问卷采集用户数据，并在沉浸式环境中利用用户面部图像进行皮肤分析。该数据用于训练CNN模型以识别肤质类型和现存问题，进而驱动推荐引擎提供个性化护肤产品方案。实验评估显示，该CNN模型对现有皮肤问题的分类准确率平均达到93%。作为集成于扩展现实系统的解决方案，本方法通过提供沉浸式互动体验，有望显著提升美容行业服务效能，帮助用户建立更高效、可持续的护肤流程。