Search Results - camera-based fall detection algorithms*

Improving the accuracy of existing camera based fall detection algorithms through late fusion

Authors: Bart Vanrumste Glen Debard Greet Baldewijns et al.

Source: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :2667-2671

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, Area Under Curve, 0202 electrical engineering, electronic engineering, information engineering, Accidental Falls, 02 engineering and technology, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/29060448
https://pubmed.ncbi.nlm.nih.gov/29060448/
https://ieeexplore.ieee.org/document/8037406/
https://dblp.uni-trier.de/db/conf/embc/embc2017.html#BaldewijnsDMCV17
https://www.ncbi.nlm.nih.gov/pubmed/29060448

Bridging the gap between real‐life data and simulated data by providing a highly realistic fall dataset for evaluating camera‐based fall detection algorithms

Authors: Bart Vanrumste Gert Mertes Glen Debard et al.

Source: Healthcare Technology Letters. 3:6-11

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://europepmc.org/articles/pmc4814805?pdf=render
https://pubmed.ncbi.nlm.nih.gov/27222726
https://pubmed.ncbi.nlm.nih.gov/27222726/
http://europepmc.org/articles/PMC4814805
https://www.ncbi.nlm.nih.gov/pubmed/27222726
https://core.ac.uk/display/34655741
https://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_522287_12
https://doi.org/10.1049%2Fhtl.2015.0047

Camera-based fall detection using a particle filter

Authors: Debard, Glen Baldewijns, Greet Goedemé, Toon et al.

Source: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :6947-6950

Subject Terms: Technology, Science & Technology, PSI_4040, Engineering, Electrical & Electronic, 02 engineering and technology, PSI_VISICS, 7. Clean energy, 3. Good health, Engineering, 13. Climate action, STADIUS-15-228, Assisted Living, Photography, 0202 electrical engineering, electronic engineering, information engineering, Fall Detection, Humans, Accidental Falls, Engineering, Biomedical, Algorithms, Filtration, Aged

Access URL: https://lirias.kuleuven.be/bitstream/123456789/506337/1/FallDetection%20using%20a%20particle%20filter.pdf
https://pubmed.ncbi.nlm.nih.gov/26737890
https://lirias.kuleuven.be/handle/123456789/506337
https://doi.org/10.1109/embc.2015.7319990

Optimized fall detection using hybrid BiLSTM BiGRU additive attention model and BAOA driven feature selection system.

Authors: Ahirwar, Mithun Singh Soni, Vaibhav

Source: Scientific Reports; 11/10/2025, Vol. 15 Issue 1, p1-23, 23p

Subject Terms: DEEP learning, LONG short-term memory, RECURRENT neural networks, FEATURE selection, OPTIMIZATION algorithms, ACCIDENTAL fall prevention, WEARABLE technology

Background-Subtraction Algorithm Optimization for Home Camera-Based Night-Vision Fall Detectors

Authors: Alonso, Mercedes Brunete González, Alberto Hernando Gutiérrez, Miguel et al.

Contributors: Alonso, Mercedes Brunete González, Alberto Hernando Gutiérrez, Miguel et al.

Source: Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
instname
Ieee Access, ISSN 2169-3536, 2019-12, Vol. 7, No. 1
Archivo Digital UPM
Universidad Politécnica de Madrid
IEEE Access, Vol 7, Pp 152399-152411 (2019)

Subject Terms: camera-based, Robótica e Informática Industrial, background-subtraction, Detectors, 02 engineering and technology, Genetic algorithms, Cameras, Senior citizens, Ingeniería Industrial, TK1-9971, Fall detection, 0202 electrical engineering, electronic engineering, information engineering, Electrónica, Electrical engineering. Electronics. Nuclear engineering

File Description: application/pdf

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876591.pdf
http://hdl.handle.net/10261/215512
https://oa.upm.es/57108/
https://doaj.org/article/04275db4d75e499a9ea1cf3e008a4445
https://ieeexplore.ieee.org/document/8876591
https://dblp.uni-trier.de/db/journals/access/access7.html#AlonsoBHG19
http://digital.csic.es/bitstream/10261/215512/1/Background_Camera_Detectors.pdf
http://oa.upm.es/57108/
https://digital.csic.es/handle/10261/215512

An RGB camera-based fall detection algorithm in complex home environments

Authors: Zhiyu Tian Liang Zhang Guoan Wang et al.

Source: Interdisciplinary Nursing Research. 1:14-26

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

An efficient algorithm for pedestrian fall detection in various image degradation scenarios based on YOLOv8n.

Authors: Xun, Jianhui Wang, Xuefeng Wang, Xiufang et al.

Source: Scientific Reports; 4/14/2025, Vol. 15 Issue 1, p1-15, 15p

Subject Terms: DETECTION algorithms, CITIES & towns, OLDER people, ARTIFICIAL intelligence, RAINFALL

Accelerometer and Camera-Based Strategy for Improved Human Fall Detection

Authors: Zerrouki, Nabil Harrou, Fouzi Sun, Ying et al.

Contributors: Zerrouki, Nabil Harrou, Fouzi Sun, Ying et al.

Source: Journal of Medical Systems. 40

Subject Terms: Support vector machine, Support Vector Machine, Monitoring, Ambulatory, Bayes Theorem, Anomaly detection, 02 engineering and technology, 01 natural sciences, Pattern Recognition, Automated, Visiosurvaillance, Machine Learning, Accelerometry, Fall detection and classification, 0202 electrical engineering, electronic engineering, information engineering, Humans, Accidental Falls, Tri axial accelerometer, 0101 mathematics, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/27796842

Camera-Based Fall Detection System for the Elderly With Occlusion Recognition.

Authors: LEZZAR, Fouzi BENMERZOUG, Djamel KITOUNI, Ilham

Source: Applied Medical Informatics. 2020, Vol. 42 Issue 3, p169-179. 11p.

Subject Terms: *ALGORITHMS, *MACHINE learning, *OLDER people, *AUTUMN, *COMPUTER vision

Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization.

Authors: Khan, Awais Kim, Jung-Yeon Kim, Chomyong et al.

Source: Scientific Reports; 8/4/2025, Vol. 15 Issue 1, p1-15, 15p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, ELDER care, INDEPENDENT living, ACCIDENTAL fall prevention, IMAGE processing

Home Camera-Based Fall Detection System for the Elderly

Authors: Miguel, Koldo de Brunete González, Alberto Hernando Gutiérrez, Miguel et al.

Contributors: Miguel, Koldo de Brunete González, Alberto Hernando Gutiérrez, Miguel et al.

Source: Sensors (Basel)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Sensors, Vol 17, Iss 12, p 2864 (2017)
Sensors; Volume 17; Issue 12; Pages: 2864

Subject Terms: fall detection, camera-based, elderly, home automation, Chemical technology, Camera-based, Monitoring, Ambulatory, TP1-1185, 02 engineering and technology, Article, Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Humans, Accidental Falls, Algorithms, Aged

File Description: application/pdf

Access URL: https://www.mdpi.com/1424-8220/17/12/2864/pdf
https://pubmed.ncbi.nlm.nih.gov/29232846
http://hdl.handle.net/10261/170678
https://doaj.org/article/dd5837a80bc74ddb9051c89c0b04455d
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751723
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751723
https://europepmc.org/articles/PMC5751723
http://digital.csic.es/bitstream/10261/170678/1/Miguel_Home_camera_sensors-17-02864.pdf
https://core.ac.uk/display/145077791
https://digital.csic.es/handle/10261/170678
https://oa.upm.es/90825/

Camera-Based Fall Detection System for the Elderly With Occlusion Recognition

Authors: Fouzi LEZZAR Djamel BENMERZOUG Ilham KITOUNI

Source: Applied Medical Informatics, Vol 42, Iss 3, Pp 169-179 (2020)

Subject Terms: fall detection, camra, machine learning, deep learning, e-health, Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://ami.info.umfcluj.ro/index.php/AMI/article/view/788; https://doaj.org/toc/2067-7855

Access URL: https://doaj.org/article/80ab5f4a60da4af393ed48e65c6a41fa

Comparative Study Of Computer Vision Algorithms For Fall Detection.

Alternate Title: Estudio Comparativo De Algoritmos De Visión Computacional Orientados Al Reconocimiento De Caídas. (Spanish)

Authors: Eraso Guerrero, José Camilo España, Elena Muñoz Añasco, Mariela Muñoz et al.

Source: Investigación e Innovación en Ingenierías; jul-dic2024, Vol. 12 Issue 2, p38-57, 20p

Subject Terms: CONVOLUTIONAL neural networks, COMPUTER vision, FEATURE extraction, DATABASES, SCIENTIFIC community

Fall Detection in Elderly People: A Systematic Review of Ambient Assisted Living and Smart Home-Related Technology Performance.

Authors: Gorce, Philippe Jacquier-Bret, Julien

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6540, 31p

Subject Terms: DEEP learning, ACCIDENTAL fall prevention, OLDER people, WEARABLE technology, SMART homes, ASSISTIVE technology, COMPUTER performance

Technical insights into vision-based fall detection systems: performances, challenges, and constraints.

Authors: Inturi, Anitha Rani Manikandan, V. M. Hu, Yu-Chen

Source: AI & Society; Dec2025, Vol. 40 Issue 8, p6683-6695, 13p

Subject Terms: ACCIDENTAL falls, VIDEO surveillance, ELDER care, INFORMATION technology, TECHNOLOGICAL innovations, SMART homes, INJURY risk factors, COMPARATIVE studies

Radar-based elderly fall detection using SPWVD and ResNet Network.

Authors: P. J., Swarubini Ganapathy, Nagarajan

Source: Current Directions in Biomedical Engineering; Dec2024, Vol. 10 Issue 4, p498-501, 4p

Subject Terms: WEARABLE technology, QUALITY of life, TIME-frequency analysis, RADAR signal processing, CLASSIFICATION algorithms

Camera-based fall detection using real-world versus simulated data: How far are we from the solution?

Authors: Marc Mertens Mieke Deschodt Tom Croonenborghs et al.

Source: Journal of Ambient Intelligence and Smart Environments. 8:149-168

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES FOR REAL-TIME FALL DETECTION USING WEARABLE SENSOR DATA.

Authors: MAHMOOD, ARZO TURKER, GUL FATMA

Source: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p1714-1724, 11p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, LONG short-term memory, PATIENT monitoring, ELDER care, WEARABLE technology, REAL-time computing

Confidence-based Fall Detection Using Multiple Surveillance Cameras

Authors: Dara, Ros Rui, Dai

Source: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). :3974-3977

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, Humans, Accidental Falls, 02 engineering and technology, Algorithms, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/34892101

Long Short-Term Memory-Based Fall Detection by Frequency-Modulated Continuous Wave Millimeter-Wave Radar Sensor for Seniors Living Alone.

Authors: Yu, Yun Seop Wie, Seongjo Lee, Hojin et al.

Source: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8381, 16p

Subject Terms: LONG short-term memory, OLDER people, MACHINE learning, HUMAN activity recognition, CONTINUOUS wave radar, FEATURE extraction