Suchergebnisse - "camera‐based fall detection algorithms"

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

Autoren: Bart Vanrumste Glen Debard Greet Baldewijns et al.

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

Schlagwörter: 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

Zugangs-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

Autoren: Bart Vanrumste Gert Mertes Glen Debard et al.

Quelle: Healthcare Technology Letters. 3:6-11

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

Zugangs-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

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

Autoren: Baldewijns, Greet Debard, Glen Mertes, Gert et al.

Quelle: Healthcare Technology Letters; Mar2016, Vol. 3 Issue 1, p6-11, 6p

Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review.

Autoren: Gaya-Morey, F. Xavier Manresa-Yee, Cristina Buades-Rubio, José M.

Quelle: Applied Intelligence; Oct2024, Vol. 54 Issue 19, p8982-9007, 26p

Schlagwörter: HUMAN activity recognition, CONGREGATE housing, LIVING alone, OLDER people, QUALITY of life

Pedestrian Fall Detection Methods for Public Traffic Areas: A Literature Review.

Autoren: Zhao, Rongyong Zhu, Wenjie Han, Chuanfeng et al.

Quelle: Applied Sciences (2076-3417); Oct2024, Vol. 14 Issue 19, p8934, 21p

Schlagwörter: PUBLIC spaces, BIBLIOMETRICS, MEDICAL assistance, INTERNET of things

Stepping up to meet the challenge of freezing of gait in Parkinson's disease.

Autoren: Lewis, Simon Factor, Stewart Giladi, Nir et al.

Quelle: Translational Neurodegeneration; 5/1/2022, Vol. 11 Issue 1, p1-12, 12p

Schlagwörter: GAIT disorders, PARKINSON'S disease

A Fall Posture Classification and Recognition Method Based on Wavelet Packet Transform and Support Vector Machine.

Autoren: Zhang, Qingyun Tao, Jin Sun, Qinglin et al.

Quelle: Applied Sciences (2076-3417); Jun2021, Vol. 11 Issue 11, p5030, 14p

Schlagwörter: SUPPORT vector machines, WAVELET transforms, POSTURE, KERNEL functions, RANDOM forest algorithms

On the Heterogeneity of Existing Repositories of Movements Intended for the Evaluation of Fall Detection Systems.

Autoren: Casilari, Eduardo Santoyo-Ramón, José A. Cano-García, José M.

Quelle: Journal of Healthcare Engineering; 12/8/2020, p1-36, 36p

Schlagwörter: ONE-way analysis of variance, HEALTH of older people, HETEROGENEITY, INSTITUTIONAL repositories, HUMAN body, WARNING labels

Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection.

Autoren: El Attaoui, Amina Largo, Salma Kaissari, Soufiane et al.

Quelle: IET Wireless Sensor Systems (Wiley-Blackwell); Dec2020, Vol. 10 Issue 6, p320-332, 13p

Post-fall Detection Using ANN Based on Ranking Algorithms.

Autoren: Koo, Bummo Kim, Jongman Kim, Taehee et al.

Quelle: International Journal of Precision Engineering & Manufacturing; Oct2020, Vol. 21 Issue 10, p1985-1995, 11p

ViFa: an analytical framework for vision-based fall detection in a surveillance environment.

Autoren: Ezatzadeh, Shabnam Keyvanpour, Mohammad Reza

Quelle: Multimedia Tools & Applications; Sep2019, Vol. 78 Issue 18, p25515-25537, 23p

Schlagwörter: COMPUTER vision, PUBLIC welfare, AUTUMN, POPULATION aging

Three Ways to Improve the Performance of Real-Life Camera-Based Fall Detection Systems.

Autoren: Debard, Glen Mertens, Marc Goedemé, Toon et al.

Quelle: Journal of Sensors; 10/23/2017, p1-15, 15p

Schlagwörter: DETECTORS, PREVENTION of falls in old age, FALSE alarms, ROBUST control, MONTE Carlo method

Analysis of Public Datasets for Wearable Fall Detection Systems.

Autoren: Casilari, Eduardo Santoyo-Ramón, José-Antonio Cano-García, José-Manuel

Quelle: Sensors (14248220); Jul2017, Vol. 17 Issue 7, p1513, 28p, 8 Charts, 6 Graphs

Falling Detection System Based on Machine Learning.

Autoren: Nadi, Mai El-Bendary, Nashwa Hassanien, Aboul Ella et al.

Quelle: 2015 4th International Conference on Advanced Information Technology & Sensor Application (AITS); 1/1/2015, p71-75, 5p

Camera-based fall detection using a particle filter.

Autoren: Debard, Glen Baldewijns, Greet Goedeme, Toon et al.

Quelle: 2015 37th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC); 2015, p6947-6950, 4p

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

Autoren: Debard, Glen Mertens, Marc Deschodt, Mieke et al.

Quelle: Journal of Ambient Intelligence & Smart Environments; 2016, Vol. 8 Issue 2, p149-168, 20p

Schlagwörter: ACCIDENTAL fall prevention, VIDEO surveillance, CONGREGATE housing, ELDER care, ALGORITHMS, EQUIPMENT & supplies

The Performance of Post-Fall Detection Using the Cross-Dataset: Feature Vectors, Classifiers and Processing Conditions.

Autoren: Koo, Bummo Kim, Jongman Nam, Yejin et al.

Quelle: Sensors (14248220); Jul2021, Vol. 21 Issue 14, p4638-4638, 1p

Schlagwörter: ANGULAR velocity, ANGULAR acceleration, MACHINE learning, ARTIFICIAL neural networks, TRAINING needs

Comprehensive Review of Vision-Based Fall Detection Systems.

Autoren: Gutiérrez, Jesús Rodríguez, Víctor Martin, Sergio

Quelle: Sensors (14248220); Feb2021, Vol. 21 Issue 3, p947, 1p

Schlagwörter: ARTIFICIAL vision, ARTIFICIAL neural networks, SCIENCE databases

eHomeSeniors Dataset: An Infrared Thermal Sensor Dataset for Automatic Fall Detection Research.

Autoren: Riquelme, Fabián Espinoza, Cristina Rodenas, Tomás et al.

Quelle: Sensors (14248220); Oct2019, Vol. 19 Issue 20, p4565, 1p

Schlagwörter: DATA privacy, AMED (Information retrieval system), OLDER people, DETECTORS, VIDEO recording, AUTUMN, ELDER care

A New Approach to Fall Detection Based on Improved Dual Parallel Channels Convolutional Neural Network.

Autoren: Liu, Xiaoguang Li, Huanliang Lou, Cunguang et al.

Quelle: Sensors (14248220); Jun2019, Vol. 19 Issue 12, p2814, 1p

Schlagwörter: ARTIFICIAL neural networks, FISHER discriminant analysis, SUPPORT vector machines