痴呆症护理研究和心理社会因素
Dalene Ephme Ben George1, Harshini I1, Shivani M1
1Sri Sivasubramaniya Nadar College Of Engineering, Chennai, Tamil Nadu, India.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
概括
带有面部识别功能的智能眼镜通过识别人和提供音频反来帮助阿尔茨海默病患者. 集成的GPS通过允许护理人员跟踪患者的位置来提高安全性,改善日常生活和社交互动.
科学领域:
- * 生物医学工程 * 生物医学工程
- * 计算机科学 计算机科学
- * 老年学是一门学科.
背景情况:
- *阿尔茨海默病 (AD) 显著损害认知功能,包括面部识别和记忆回忆.
- *阿尔茨海默病患者由于这些认知缺陷,经常经历社会隔离和情绪困扰.
- *当前对阿兹海默症患者的护理策略面临与患者流浪和社会参与相关的挑战.
研究的目的:
- * 开发和评估旨在帮助阿尔茨海默病患者进行面部识别和社交互动的智能眼镜.
- *通过集成的GPS跟踪来提高患者的安全性,以监控护理人员.
- * 减少患者的依赖,提高他们对日常活动的信心.
主要方法:
- * 使用ESP32-CAM模块进行实时图像捕捉和嵌入式面部识别.
- *使用机器学习库 (OpenCV,NumPy,dlib) 进行面部数据处理和识别.
- * 集成的文本到语音合成用于音频反,触摸传感器用于用户控制,以及GPS模块用于位置跟踪.
主要成果:
- *成功地将已识别的面孔与存储的数据库进行匹配,通过音频反宣布姓名和关系.
- * 患者对护理人员的依赖性有所减少.
- * 患者对社会和公共环境的信心有所提高.
结论:
- *智能眼镜提供了一种可行的技术解决方案,以改善阿尔茨海默病患者的日常生活.
- * 该系统增强了AD患者的社交互动,个人安全和整体生活质量.
- *这项技术使患者能够更独立地驾他们的环境.
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