摘要
准确地获取包括人的状态和动作等情境信息一直以来都是普适计算的重要研究方向,具有很大的应用价值.作为一种廉价、非侵扰型的感知手段,基于Wi-Fi的无接触式行为识别技术已经成为一个新兴的、极具潜力的研究领域.从历史概述、理论研究、模型研究、核心技术到应用场景这四个方面总结该领域的研究现状.在总结现有工作所取得的进展和存在的问题的同时,提出该领域将来可能的研究方向.
Providing accurate information about human＇s state and activity is one of the most important elements in ubiquitous computing.Various applications can be enabled if one＇s state and activity can be recognized.Due to the low deployment cost and non-intrusive sensing nature, Wi-Fi based activity recognition has become a promising and emerging research area.The state-of-the-art of the area was surveyed from four aspects ranging from historical overview,theories and models,key techniques to applications.In addition to the summary about the principles and achievements of existing work,some open issues and research directions in this emerging area were presented.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2017年第4期648-654,690,共8页
Journal of Zhejiang University：Engineering Science
基金
国家重点研发计划资助项目(2016YFB1001200)
国家自然科学基金资助项目(61572048)
上海国资委能级提升项目(2014-C-1-02)
