Pyroelectric IR sensor arrays for fall detection in the older population
J. Phys. IV France, 128 (2005) 153-160
Article cité par
La fonctionnalité Article cité par… liste les citations d'un article. Ces citations proviennent de la base de données des articles de EDP Sciences, ainsi que des bases de données d'autres éditeurs participant au programme CrossRef Cited-by Linking Program. Vous pouvez définir une alerte courriel pour être prévenu de la parution d'un nouvel article citant " cet article (voir sur la page du résumé de l'article le menu à droite).
Article cité :
Citations de cet article :
Plasmonic‐Pyroelectric Materials and Structures
Qingping Wang, Chris R. Bowen and Ventsislav K. ValevAdvanced Functional Materials 34 (21) (2024)
https://doi.org/10.1002/adfm.202312245
A review on fall detection systems in bathrooms: challenges and opportunities
Ramanujam E, Thinagaran Perumal and Shankar KMultimedia Tools and Applications 83 (29) 73477 (2024)
https://doi.org/10.1007/s11042-023-18088-6
1019 14 (2024)
https://doi.org/10.1007/978-3-031-62273-1_2
637 (2023)
https://doi.org/10.1109/ICSSE58758.2023.10227202
Falling Estimation Based on PoseNet Using Camera with Difference Absolute Standard Deviation Value and Average Amplitude Change on Key-Joint
Muhammad Idris Siddiq, Achmad Rizal, Bayu Erfianto and Sugondo HadiyosoApplied Mechanics and Materials 913 111 (2023)
https://doi.org/10.4028/p-9cplm1
Pyroelectric infrared detectors and materials—A critical perspective
Roger W. Whatmore and Samuel J. WardJournal of Applied Physics 133 (8) (2023)
https://doi.org/10.1063/5.0141044
Nanostructured Si–Ge thermoelectric material for 1200 V/W highly sensitive infrared thermopile sensor device
Kyohei Kakuyama, Kotaro Hirose, Masahiro Adachi, Tsunehiro Takeuchi and Masafumi KimataAIP Advances 13 (3) (2023)
https://doi.org/10.1063/5.0144938
Healthcare applications of single camera markerless motion capture: a scoping review
Bradley Scott, Martin Seyres, Fraser Philp, Edward K. Chadwick and Dimitra BlanaPeerJ 10 e13517 (2022)
https://doi.org/10.7717/peerj.13517
7377 (2021)
https://doi.org/10.1109/EMBC46164.2021.9629665
NT-FDS—A Noise Tolerant Fall Detection System Using Deep Learning on Wearable Devices
Marvi Waheed, Hammad Afzal and Khawir MehmoodSensors 21 (6) 2006 (2021)
https://doi.org/10.3390/s21062006
6995 (2021)
https://doi.org/10.1109/EMBC46164.2021.9630971
Ensemble-Based Machine Learning for Predicting Sudden Human Fall Using Health Data
Utkarsh Saxena, Soumen Moulik, Soumya Ranjan Nayak, et al.Mathematical Problems in Engineering 2021 1 (2021)
https://doi.org/10.1155/2021/8608630
(2020)
https://doi.org/10.1016/B978-0-12-803581-8.11751-5
Challenges and Trends in Multimodal Fall Detection for Healthcare
Yoosuf Nizam and M. Mahadi Abdul JamilStudies in Systems, Decision and Control, Challenges and Trends in Multimodal Fall Detection for Healthcare 273 137 (2020)
https://doi.org/10.1007/978-3-030-38748-8_7
Ubiquitous Networking
Elahe Radmanesh, Mehdi Delrobaei, Oussama Habachi, et al.Lecture Notes in Computer Science, Ubiquitous Networking 12293 158 (2020)
https://doi.org/10.1007/978-3-030-58008-7_13
2163 (2020)
https://doi.org/10.1109/EMBC44109.2020.9175601
Fall detection system with portable camera
Isma Boudouane, Amina Makhlouf, Mohamed Aures Harkat, et al.Journal of Ambient Intelligence and Humanized Computing 11 (7) 2647 (2020)
https://doi.org/10.1007/s12652-019-01326-x
FallSense: An Automatic Fall Detection and Alarm Generation System in IoT-Enabled Environment
Soumen Moulik and Shubhankar MajumdarIEEE Sensors Journal 19 (19) 8452 (2019)
https://doi.org/10.1109/JSEN.2018.2880739
440 (2019)
https://doi.org/10.1109/ICOSC.2019.8665560
A Novel Approach for Outdoor Fall Detection Using Multidimensional Features from A Single Camera
Myeongseob Ko, Suneung Kim, Mingi Kim and Kwangtaek KimApplied Sciences 8 (6) 984 (2018)
https://doi.org/10.3390/app8060984
4249 (2018)
https://doi.org/10.1109/EMBC.2018.8513340
1 (2018)
https://doi.org/10.1109/HealthCom.2018.8531174
3D Convolutional Neural Networks based Fall Detection with Thermal Camera
Dae-Eon Kim, BongKyu Jeon and Dong-Soo KwonJournal of Korea Robotics Society 13 (1) 45 (2018)
https://doi.org/10.7746/jkros.2018.13.1.045
Development of Textile-based Pressure Sensor and Its Application
Seung Ju Lim, Jong Hyuk Bae, Sung Jin Jang, Jee Young Lim and Jae Hoon KoFibers and Polymers 19 (12) 2622 (2018)
https://doi.org/10.1007/s12221-018-8813-8
594 (2017)
https://doi.org/10.1109/SMC.2017.8122671
An Open Architecture to Support Social and Health Services in a Smart TV Environment
Carlos Rivas Costa, Luis E. Anido-Rifon and Manuel J. Fernandez-IglesiasIEEE Journal of Biomedical and Health Informatics 21 (2) 549 (2017)
https://doi.org/10.1109/JBHI.2016.2525725
1410 (2017)
https://doi.org/10.1109/MWSCAS.2017.8053196
An automatic in-home fall detection system using Doppler radar signatures
Liang Liu, Mihail Popescu, Marjorie Skubic, et al.Journal of Ambient Intelligence and Smart Environments 8 (4) 453 (2016)
https://doi.org/10.3233/AIS-160388
Cross-Cultural Design
Tauseef Gulrez, Samia-Nefti Meziani, David Rog, Matthew Jones and Anthony HodgsonLecture Notes in Computer Science, Cross-Cultural Design 9741 649 (2016)
https://doi.org/10.1007/978-3-319-40093-8_64
Ambient Assisted Living
Sebastian M. Müller, Enno-Edzard Steen and Andreas HeinAdvanced Technologies and Societal Change, Ambient Assisted Living 47 (2016)
https://doi.org/10.1007/978-3-319-26345-8_5
Fall Detection in Homes of Older Adults Using the Microsoft Kinect
Erik E. Stone and Marjorie SkubicIEEE Journal of Biomedical and Health Informatics 19 (1) 290 (2015)
https://doi.org/10.1109/JBHI.2014.2312180
Fall detection for elderly person care in a vision-based home surveillance environment using a monocular camera
Weiguo Feng, Rui Liu and Ming ZhuSignal, Image and Video Processing 8 (6) 1129 (2014)
https://doi.org/10.1007/s11760-014-0645-4
Efficient Source Separation Algorithms for Acoustic Fall Detection Using a Microsoft Kinect
Yun Li, K. C. Ho and Mihail PopescuIEEE Transactions on Biomedical Engineering 61 (3) 745 (2014)
https://doi.org/10.1109/TBME.2013.2288783
Electrosprayed carbon-based black coatings for pyroelectric detectors
Ling Zhao, Xiuli He, Jianping Li, Xiaoguang Gao and Jian JiaSensors and Actuators A: Physical 196 16 (2013)
https://doi.org/10.1016/j.sna.2013.03.030
439 (2013)
https://doi.org/10.1109/HealthCom.2013.6720716
Triaxial Accelerometer-Based Fall Detection Method Using a Self-Constructing Cascade-AdaBoost-SVM Classifier
Wen-Chang Cheng and Ding-Mao JhanIEEE Journal of Biomedical and Health Informatics 17 (2) 411 (2013)
https://doi.org/10.1109/JBHI.2012.2237034
5867 (2012)
https://doi.org/10.1109/EMBC.2012.6347328
Fall detectors: a review of the literature
Gillian Ward, Nikki Holliday, Simon Fielden and Sue WilliamsJournal of Assistive Technologies 6 (3) 202 (2012)
https://doi.org/10.1108/17549451211261326
Constructing Ambient Intelligence
Shuai Tao, Mineichi Kudo, Hidetoshi Nonaka and Jun ToyamaCommunications in Computer and Information Science, Constructing Ambient Intelligence 277 119 (2012)
https://doi.org/10.1007/978-3-642-31479-7_19
180 (2012)
https://doi.org/10.1109/BHI.2012.6211539
Advances in Information Technology
Orasa Patsadu, Chakarida Nukoolkit and Bunthit WatanapaCommunications in Computer and Information Science, Advances in Information Technology 344 137 (2012)
https://doi.org/10.1007/978-3-642-35076-4_13
A Microphone Array System for Automatic Fall Detection
Yun Li, K. C. Ho and M. PopescuIEEE Transactions on Biomedical Engineering 59 (5) 1291 (2012)
https://doi.org/10.1109/TBME.2012.2186449
Simulated Unobtrusive Falls Detection With Multiple Persons
A. Ariani, S. J. Redmond, D. Chang and N. H. LovellIEEE Transactions on Biomedical Engineering 59 (11) 3185 (2012)
https://doi.org/10.1109/TBME.2012.2209645
256 (2012)
https://doi.org/10.1109/EMBC.2012.6345918
157 (2011)
https://doi.org/10.1109/HEALTH.2011.6026733
2242 (2010)
https://doi.org/10.1109/IEMBS.2010.5627368
Multiple Human Tracking and Identification With Wireless Distributed Pyroelectric Sensor Systems
Qi Hao, Fei Hu and Yang XiaoIEEE Systems Journal 3 (4) 428 (2009)
https://doi.org/10.1109/JSYST.2009.2035734
4628 (2008)
https://doi.org/10.1109/IEMBS.2008.4650244
42 (2008)
https://doi.org/10.1109/HEALTH.2008.4600107
User-Based Motion Sensing and Fuzzy Logic for Automated Fall Detection in Older Adults
Patrick Boissy, Stéphane Choquette, Mathieu Hamel and Norbert NouryTelemedicine and e-Health 13 (6) 683 (2007)
https://doi.org/10.1089/tmj.2007.0007