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基于深度学习的智能陪护系统

Intelligent Escort System Based on Deep Learning
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摘要 基于深度学习的智能陪护系统通过视频检测功能、语音互动、数据分析等功能,实现远程视频监护,对老人的摔倒、晕倒等异常情况实现监测并及时通知子女,让子女联系物业帮助老人脱离危险区。系统实时记录老人居家生活情况,智能分析和预测老人身体状况及精神面貌,以大数据可视化的方式精准呈现出来。这种“云陪护”的方式实现老人与子女“共同生活”的愿望,达到物质生活和精神生活一样富足。 The intelligent escort system based on deep learning realizes remote video monitoring through video detection function,voice interaction, data analysis and other functions, monitors abnormal situations such as falls and faints of the elderly and notifies their children in time, so that the children can contact the property to help the elderly get out of the danger zone. The system records the life situation of the elderly at home in real time, intelligently analyzes and predicts the physical condition and mental outlook of the elderly, and accurately presents it in the form of big data visualization. This way of “cloud escort” realizes the desire of the elderly and their children to “live together” and achieves the same richness as material life and spiritual life.
作者 吴伟美 胡建华 张军 曾文英 黄柏辉 WU Weimei;HU Jianhua;ZHANG Jun;ZENG Wenying;HUANG Baihui(Computer Engineering Technical College,Guangdong Polytechnic of Science and Technology,Zhuhai 519090,China)
出处 《现代信息科技》 2022年第24期23-26,30,共5页 Modern Information Technology
基金 校级基金培育专项(XJPY202207) 广州市科技计划基础与应用基础研究项目(202201011753) 广州市科技计划基础与应用基础研究项目(202201011693) 广东省科技创新战略专项资金(“攀登计划”专项资金)(pdjh2022b0848)。
关键词 姿态识别 摔倒识别 语音回复 数据分析 数据可视化 attitude recognition fall recognition voice response data analysis data visualization
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