Visual analysis system to detect and predict the signs of anxiety in healthcare

用于检测和预测医疗保健中焦虑迹象的视觉分析系统

• 批准号: 2902083
• 金额: --
• 依托单位: Plymouth University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2902083
• 关键词: Visual; analysis; system; detect; predict

The intention of this project is to identify non-verbal cues of anxiety in dental practice. This project uses the dental practice as an example of a stressful health environment. The aim of this project is to analyse the action and behaviour of dental patients through videos to predict and detect their level of anxiety. The framework of this project is based on a deep learning approach to analyse the movement and body actions of dental patients. This flow is based on video processing techniques for action recognition. The main lines of this research study can be summarised as follows: 1) Updating the current literature review on visual analysis systems on behaviour expression and action prediction 2) Identify the appropriate machine vision approach to detect and predict anxiety to be expanded 3) Improve the framework to perform efficiently in real time and in real-world scenarios. 4) Implement the developed system and perform experiments in dental practice simulations.

这个项目的目的是确定在牙科实践中焦虑的非语言线索。这个项目使用牙科实践作为一个有压力的健康环境的例子。该项目的目的是通过视频分析牙科患者的行动和行为，以预测和检测他们的焦虑程度。该项目的框架基于深度学习方法来分析牙科患者的运动和身体动作。该流程基于用于动作识别的视频处理技术。本研究的主要内容可以总结如下：1）更新当前关于行为表达和动作预测的视觉分析系统的文献综述2）确定适当的机器视觉方法来检测和预测焦虑，以扩展3）改进框架，以便在真实的时间和真实世界的场景中有效地执行。4)实施所开发的系统，并在牙科实践模拟进行实验。