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  • Search: subject:"fall detection"
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Year of publication
Subject
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Fall Detection 3 Computer Vision 2 AAL applications 1 Action Recognition 1 Active and Assisted Living 1 Activity and behaviour recognition 1 Activity and personal assistance 1 Ambient Intelligence 1 Artificial Intelligence 1 Audio-signal processing 1 Chronic disease 1 Chronische Krankheit 1 Co-design 1 Cognitive and motor rehabilitation 1 Data sensing and processing 1 DeeperCut 1 Depth Images 1 Depth Information 1 Elderly Safety 1 Emotional and affective state recognition 1 Fall detection and prevention 1 Food intake monitoring 1 Frailty recognition 1 Gesture recognition 1 Human Activity Recognition 1 Human-Computer Interaction 1 Image Classification 1 Image Feature 1 Image Processing 1 Kinect 1 Lifelogging and self- monitoring 1 Mobility assessment 1 Neural networks 1 Neuronale Netze 1 Public Health 1 Raspberry Pi 1 Silver economy 1 Social Robotics 1 Theorie 1 Theory 1
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Online availability
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Undetermined 4 Free 1
Type of publication
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Article 4 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1 Research Report 1
Language
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English 5
Author
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Baha, Nadia 2 Agius, Jean Calleja 1 Aleksic, Slavisa 1 Atanasov, Michael 1 Beloudah, Eden 1 Brown, Randall A. 1 Camilleri, Kenneth 1 Cao, Guoxu 1 Chai, Yidong 1 Chen, Hsinchun 1 Climent-Pérez, Pau 1 Colantonio, Sara 1 Cristina, Stefania 1 Despotovic, Vladimir 1 Ekenel, Hazim Kemal 1 Emirzeoğlu, Murat 1 Erakin, Ekrem 1 Florez-Revuelta, Francisco 1 Germanese, Danila 1 Grech, Nicole 1 Iliev, Ivo 1 Islind, Anna Sigríđur 1 Jovanovic, Mladjan 1 Kampel, Martin 1 Kearns, William 1 Klimczuk, Andrzej 1 Lambrinos, Lambros 1 Lumetzberger, Jennifer 1 Merrouche, Fairouz 1 Mucha, Wiktor 1 Noiret, Sophie 1 Nunamaker, Jay F. 1 Ousmer, Mehdi 1 Pajalic, Zada 1 Petrova, Galidiya 1 Petrovica, Sintija 1 Pocta, Peter 1 Poli, Angelica 1 Pudane, Mara 1 Pérez, Rodrigo Rodriguez 1
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Published in...
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International Journal of Computer Vision and Image Processing (IJCVIP) 2 International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 1 Journal of management information systems : JMIS 1
Source
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Other ZBW resources 3 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 5 of 5
Cover Image
State of the Art of Audio- and Video-Based Solutions for AAL
Aleksic, Slavisa; Atanasov, Michael; Agius, Jean Calleja; … - 2022
assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition …
Persistent link: https://www.econbiz.de/10013166087
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Cover Image
Fall detection with wearable sensors : a hierarchical attention-based convolutional neural network approach
Yu, Shuo; Chai, Yidong; Chen, Hsinchun; Brown, Randall A.; … - In: Journal of management information systems : JMIS 38 (2021) 4, pp. 1095-1121
Persistent link: https://www.econbiz.de/10012804199
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Cover Image
Fall Detection Depth-Based Using Tilt Angle and Shape Deformation
Merrouche, Fairouz; Baha, Nadia - In: International Journal of Computer Vision and Image … 8 (2018) 4, pp. 26-40
over many developed systems. In this article, the authors propose a new vision-based fall detection using depth camera. It …The population of elderly people is in growth. Falls risk their life, to disabilities, and to fears. Automatic fall … detection systems provide them secure living; helping them to be independent at home. Computer vision offers efficient systems …
Persistent link: https://www.econbiz.de/10012043859
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Fall Behavior Recognition Based on Deep Learning and Image Processing
Xu, He; Shen, Leixian; Zhang, Qingyun; Cao, Guoxu - In: International Journal of Mobile Computing and … 9 (2018) 4, pp. 1-15
Accidental fall detection for the elderly who live alone can minimize the risk of death and injuries. In this article …, we present a new fall detection method based on "deep learning and image, where a human body recognition model … data to input into the fall detection neural network. The output model then judges the fall of the subsequent pictures. In …
Persistent link: https://www.econbiz.de/10012046495
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Cover Image
Towards a Real-Time Fall Detection System using Kinect Sensor
Baha, Nadia; Beloudah, Eden; Ousmer, Mehdi - In: International Journal of Computer Vision and Image … 6 (2016) 1, pp. 41-58
Falls are the major health problem among older people who live alone in their home. In the past few years, several studies have been proposed to solve the dilemma especially those which exploit video surveillance. In this paper, in order to allow older adult to safely continue living in home...
Persistent link: https://www.econbiz.de/10012043814
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