Our Work on Chewing Evaluation was Reported by FNAH | 我所在的团队关于咀嚼评估的工作获 FNAH 报道推荐
[EN] Paper Recommended by FNAH | Our Team’s Review of Chewing Evaluation Research
Our team at Anhui University published a review article titled “A Review of Chewing Evaluation Research: From Traditional Methods to Artificial Intelligence” in the journal Food, Nutrition and Health. The study systematically reviews the evolution of masticatory function assessment methods from traditional sieving and two-color gum tests to those based on Artificial Intelligence (computer vision, wearable devices, and robotic simulation systems). The article highlights that AI technology can overcome the limitations of traditional methods, enabling real-time, non-invasive, and high-precision evaluation.
[CN] FNAH好文推荐|我所在的团队：咀嚼评估研究综述：从传统方法到人工智能
我所在的安徽大学团队在《Food, Nutrition and Health》杂志发表了题为“咀嚼评估研究综述：从传统方法到人工智能”的综述文章。该研究系统回顾了咀嚼功能评估方法从传统的筛分法和双色口 gum 测试，向基于人工智能（计算机视觉、可穿戴设备和机器人模拟系统）演进的过程。文章指出，AI技术能克服传统方法耗时、依赖设备等局限，实现实时、无创、高精度的评估，为未来智能化咀嚼评估与个性化健康管理提供了重要参考。