杭州电子科技大学电子信息学院新型电子器件与应用研究所
纸质出版:2024
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蔡敏雅, 秦会斌. 老年人跌倒检测系统及其检测方法的研究进展[J]. 传感器与微系统, 2024,(2):7-11+16.
蔡敏雅, 秦会斌. 老年人跌倒检测系统及其检测方法的研究进展[J]. 传感器与微系统, 2024,(2):7-11+16. DOI: 10.13873/J.1000-9787(2024)02-0007-05.
意外跌倒是老年人受伤和死亡的主要原因,因此对跌倒智能化检测系统的研究不断增多。本文将跌倒检测系统分为4个类别:可穿戴类、室内非图像类、室内图像类和混合类。阐述了各类的技术特点,并总结了系统中所用传感器。此外,介绍了检测跌倒的主要流程和内容,对跌倒判定的主要方法阈值分析法和机器学习进行说明。最后,分析了跌倒检测系统存在的不足。在未来,随着不断改进,跌倒检测系统将具有广阔的应用前景。
伏娜娜,刘大铭,程晓婷,景云云,张馨芳.基于轻量级OpenPose模型的跌倒检测算法[J].传感器与微系统,2021(11).
刘双斌,秦会斌.柔性阵列式压力传感器的制备研究[J].传感器与微系统,2021(09).
徐涛,色海锋.可穿戴式跌倒检测系统综述[J].沈阳航空航天大学学报,2021(04).
曹少杰,杨奥林,肖学良.棉织物/PVA/CNTs复合柔性压阻式压力传感器的制备与性能研究[J].传感技术学报,2021(06).
郑杨娇子,张上.人体跌倒检测技术研究分类综述[J].长江信息通信,2021(01).
马智康,赵亭杰,刘国文,李兆涵,刘宇,徐宇新.一种工程化微机电加速度计研制[J].传感器与微系统,2021(01).
岳佳欣,王忠,郑晓彬.基于Android的老年人智能监护系统研究[J].重庆理工大学学报(自然科学),2020(04).
朱连杰,陈正宇,田晨林.基于可穿戴设备的跌倒检测方法综述[J].计算机工程与应用,2019(18).
李京慧,迟宗涛,李钟晓.基于阈值分析法的人体跌倒检测系统[J].传感器与微系统,2019(08).
黄衍标,陈华珍,黄键鹏,张子豪.基于腕部可穿戴设备的跌倒监护系统设计与实现[J].计算机测量与控制,2019(01).
忽丽莎,王素贞,陈益强,高晨龙,胡春雨,蒋鑫龙,陈振宇,高兴宇.基于可穿戴设备的跌倒检测算法综述[J].浙江大学学报(工学版),2018(09).
何宏瑾,王跃林.柔性可穿戴生命体征传感器的研究进展[J].传感器与微系统,2018(07).
杨文璐,葛晓艳,李世杰,谢宏.基于Kinect的平衡能力评估系统[J].传感器与微系统,2018(06).
瞿畅,孙杰,王君泽,朱小龙.基于Kinect体感传感器的老年人跌倒自动检测[J].传感技术学报,2016(03).
Xueyi Wang,Joshua Ellul,George Azzopardi.Elderly Fall Detection Systems: A Literature Survey[J].Frontiers in Robotics and AI,2020.
Department of Computer Engineering,Alzahra University,Department of Computer Engineering,Alzahra University.ViFa: an analytical framework for vision-based fall detection in a surveillance environment[J].Multimedia Tools and Applications,2019.
Pranesh Vallabh,Reza Malekian.Fall detection monitoring systems: a comprehensive review[J].Journal of Ambient Intelligence and Humanized Computing,2018.
Huang Pin-Gao,Chen Zhenxin,Fu Menglong,Wang Hui,Samuel Oluwarotimi Williams,Liu Zhiyuan,Hu Yongmei,Fang Peng,Chen Shixiong,Chen Xiaodong,Li Guanglin.A Novel Flexible Sensor for Muscle Shape Change Monitoring in Limb Motion Recognition.[J].Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2018.
N. Lapierre,N. Neubauer,A. Miguel-Cruz,A. Rios Rincon,L. Liu,J. Rousseau.The state of knowledge on technologies and their use for fall detection: A scoping review[J].International Journal of Medical Informatics,2018.
Tuan Nguyen Gia,Victor Kathan Sarker,Igor Tcarenko,Amir M. Rahmani,Tomi Westerlund,Pasi Liljeberg,Hannu Tenhunen.Energy efficient wearable sensor node for IoT-based fall detection systems[J].Microprocessors and Microsystems,2018.
Panagiotis Tsinganos,Athanassios Skodras.On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection[J].Sensors,2018.
Pannurat Natthapon,Thiemjarus Surapa,Nantajeewarawat Ekawit.A Hybrid Temporal Reasoning Framework for Fall Monitoring[J].IEEE Sensors Journal,2017.
Chaccour Kabalan,Darazi Rony,El Hassani Amir Hajjam,Andres Emmanuel.From Fall Detection to Fall Prevention: A Generic Classification of Fall-Related Systems[J].IEEE Sensors Journal,2017.
Yuxi Wang,Kaishun Wu,Lionel M. Ni.WiFall: Device-Free Fall Detection by Wireless Networks.[J].IEEE Trans. Mob. Comput.,2017.
Michele Magno,Davide Brunelli,Lukas Sigrist,Renzo Andri,Lukas Cavigelli,Andres Gomez,Luca Benini.InfiniTime: Multi-sensor wearable bracelet with human body harvesting[J].Sustainable Computing: Informatics and Systems,2016.
Klenk Jochen,Schwickert Lars,Palmerini Luca,Mellone Sabato,Bourke Alan,Ihlen Espen A F,Kerse Ngaire,Hauer Klaus,Pijnappels Mirjam,Synofzik Matthis,Srulijes Karin,Maetzler Walter,Helbostad Jorunn L,Zijlstra Wiebren,Aminian Kamiar,Todd Christopher,Chiari Lorenzo,Becker Clemens.The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls.[J].European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity,2016.
Koray Ozcan,Senem Velipasalar.Wearable Camera- and Accelerometer-Based Fall Detection on Portable Devices.[J].Embedded Systems Letters,2016.
Bogdan Kwolek,Michal Kepski.Improving fall detection by the use of depth sensor and accelerometer[J].Neurocomputing,2015.
Pierleoni, Paola,Belli, Alberto,Palma, Lorenzo,Pellegrini, Marco,Pernini, Luca,Valenti, Simone.A High Reliability Wearable Device for Elderly Fall Detection[J].IEEE sensors journal,2015.
Liu Liang,Popescu Mihail,Skubic Marjorie,Rantz Marilyn.An automatic fall detection framework using data fusion of Doppler radar and motion sensor network.[J].Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference,2014.
Muhammad Mubashir,Ling Shao,Luke Seed.A survey on fall detection: Principles and approaches[J].Neurocomputing,2013.
Caroline Rougier,Jean Meunier,Alain St-Arnaud,Jacqueline Rousseau.Robust Video Surveillance for Fall Detection Based on Human Shape Deformation.[J].IEEE Trans. Circuits Syst. Video Techn.,2011.
Henry Rimminen,J. Lindström,Matti Linnavuo,Raimo Sepponen.Detection of Falls Among the Elderly by a Floor Sensor Using the Electric Near Field.[J].IEEE Trans. Information Technology in Biomedicine,2010.
Flaviu Cristian.Probabilistic clock synchronization[J].Distributed Computing,1989(3).
田晨林.基于机器视觉的人体跌倒检测系统设计与实现[D].南京邮电大学,2020(03).
王璐.跌倒检测中的人体轮廓获取及特征提取算法研究[D].广东工业大学,2020(02).
李冬月.面向老人的智能监控系统及行为识别的研究[D].西安电子科技大学,2019(02).
侯梦琪.基于加速度特征的人体运动识别研究[D].山东科技大学,2019(05).
蔡欢.基于模糊图像的人体姿态识别[D].西安电子科技大学,2019(02).
张文超.基于社区老年人的智能手环设计[D].东华理工大学,2018(12).
杨帅.基于室内轨迹分析的老人行为识别方法[D].青岛大学,2017(02).
朱玉杰.电梯轿厢内乘客异常行为检测[D].中国科学技术大学,2017(01).
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