基于表情识别技术的独居老人智能监护系统
Intelligent Monitoring System for the Elderly Living Alone Based on Facial Expression Recognition Technology
摘要:
本文简要介绍了基于表情识别技术的独居老人监护系统。该监护系统主要由摄像头、电脑两部分组成,它的开发思路是用摄像头捕获画面;用电脑控制整个系统和操作流程,旨在通过表情实时测量老人日常精神状态。本项目开发的独居老人监护系统是能够通过面部特征点变化判断其是否需要医护人员帮助的智能监护系统。测试结果表明,该系统能准确识别被监护者表情变化并立即发出报警信号,解决了老人痛苦或失去意识时的急切的监护需求,甚至还因及时预警从而增加了抢救时间,为老人提供了多重安全防护。
Abstract:
This paper briefly introduces a monitoring system for the elderly living alone based on facial expression recognition technology. The monitoring system is mainly composed of a camera and a computer. Its development idea is to use the camera to capture the picture; use the computer to control the entire system and operation process, aiming to measure the daily mental state of the elderly in real time through facial expressions. The monitoring system for the elderly living alone developed in this project is an intelligent monitoring system that can judge whether they need the help of medical staff through changes in facial feature points. The test results show that the system can accurately identify the change of the person’s expression and send an alarm signal immediately, which solves the urgent monitoring needs of the elderly when they are in pain or lose consciousness, and even increases the rescue time due to timely early warning, providing multiple Security.
参考文献
|
[1]
|
李飞. 基于深度学习的面部表情识别技术研究[D]: [硕士学位论文]. 大连: 大连海事大学, 2020.[CrossRef]
|
|
[2]
|
贾雪菲. 基于局部特征的人脸表情识别算法研究[D]: [硕士学位论文]. 南京: 南京邮电大学, 2020.[CrossRef]
|
|
[3]
|
何俊杰. 基于表情识别的独居老人监护系统研究[D]: [硕士学位论文]. 深圳: 深圳大学, 2018.[CrossRef]
|
|
[4]
|
张赫. 基于表情识别的伴老家庭服务机器人设计与研究[D]: [硕士学位论文]. 兰州: 兰州理工大学, 2021.[CrossRef]
|
|
[5]
|
龚佳佳. 基于面部特征的学生学习状态检测系统设计[D]: [硕士学位论文]. 成都: 成都理工大学, 2019.[CrossRef]
|
|
[6]
|
陈顺. 基于深度多模态融合的视线追踪技术[D]: [硕士学位论文]. 重庆: 重庆邮电大学, 2020.
|
|
[7]
|
闫保中, 何伟, 韩旭东. 基于表观模型的人脸特征点提取[J]. 应用科技, 2020, 47(6): 47-52.
|