Politehnica University Timişoara, Department of Automation and Applied Informatics, Timişoara, Romania.
Stud Health Technol Inform. 2023 Oct 20;309:272-276. doi: 10.3233/SHTI230795.
When it comes to health, a very widespread problem nowadays is mental health, where almost 18% of the world's population suffers from certain mental illnesses. Artificial intelligence (AI) is a concept that evolves strongly and is expected in the near future to bring improvements and help to humans in various fields. The field of mental health is not excluded, so AI can help in the performance of medical services, either by helping the medical staff or patients. In terms of mental health, it has been observed that by recognizing facial expressions, depression, schizophrenia, or other similar conditions can be detected. However, for automatic learning, a very large data set is required for good accuracy. In this paper, we present a facial expression recognition method using only a few training data, which could be used remotely through a mobile or web application.
当谈到健康问题时，现在一个非常普遍的问题是心理健康，全球有近 18%的人口患有某种精神疾病。人工智能（AI）是一个发展非常迅速的概念，预计在不久的将来将在各个领域为人类带来改进和帮助。心理健康领域也不例外，因此 AI 可以帮助提供医疗服务，无论是帮助医务人员还是患者。在心理健康方面，人们已经观察到，通过识别面部表情，可以检测到抑郁、精神分裂症或其他类似的情况。然而，对于自动学习，需要一个非常大的数据集才能获得良好的准确性。在本文中，我们提出了一种仅使用少量训练数据的面部表情识别方法，该方法可以通过移动或网络应用程序远程使用。
