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Wearable Pre-Impact Fall Detection System Based on 3D Accelerometer and Subject's Height
Ferreira de Sousa, Felipe Augusto Sodre, Escriba, Christophe, Avina Bravo, Eli Gabriel, Brossa, Vincent, Fourniols, Jean-Yves, Rossi, Carole
Published in IEEE sensors journal (15.01.2022)
Published in IEEE sensors journal (15.01.2022)
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A Depth-Based Fall Detection System Using a Kinect® Sensor
Gasparrini, Samuele, Cippitelli, Enea, Spinsante, Susanna, Gambi, Ennio
Published in Sensors (Basel, Switzerland) (11.02.2014)
Published in Sensors (Basel, Switzerland) (11.02.2014)
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Fall Detection With UWB Radars and CNN-LSTM Architecture
Maitre, Julien, Bouchard, Kevin, Gaboury, Sebastien
Published in IEEE journal of biomedical and health informatics (01.04.2021)
Published in IEEE journal of biomedical and health informatics (01.04.2021)
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SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning
Mauldin, Taylor R., Canby, Marc E., Metsis, Vangelis, Ngu, Anne H. H., Rivera, Coralys Cubero
Published in Sensors (Basel, Switzerland) (09.10.2018)
Published in Sensors (Basel, Switzerland) (09.10.2018)
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Fall detection devices and their use with older adults: a systematic review
Chaudhuri, Shomir, Thompson, Hilaire, Demiris, George
Published in Journal of geriatric physical therapy (2001) (01.10.2014)
Published in Journal of geriatric physical therapy (2001) (01.10.2014)
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A High Reliability Wearable Device for Elderly Fall Detection
Pierleoni, Paola, Belli, Alberto, Palma, Lorenzo, Pellegrini, Marco, Pernini, Luca, Valenti, Simone
Published in IEEE sensors journal (01.08.2015)
Published in IEEE sensors journal (01.08.2015)
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Bi-LSTM Network for Multimodal Continuous Human Activity Recognition and Fall Detection
Li, Haobo, Shrestha, Aman, Heidari, Hadi, Le Kernec, Julien, Fioranelli, Francesco
Published in IEEE sensors journal (01.02.2020)
Published in IEEE sensors journal (01.02.2020)
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A Footwear-Based Methodology for Fall Detection
Montanini, Laura, Del Campo, Antonio, Perla, Davide, Spinsante, Susanna, Gambi, Ennio
Published in IEEE sensors journal (01.02.2018)
Published in IEEE sensors journal (01.02.2018)
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Fall Detection and Activity Recognition Using Human Skeleton Features
Ramirez, Heilym, Velastin, Sergio A., Meza, Ignacio, Fabregas, Ernesto, Makris, Dimitrios, Farias, Gonzalo
Published in IEEE access (2021)
Published in IEEE access (2021)
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Analysis of Public Datasets for Wearable Fall Detection Systems
Casilari, Eduardo, Santoyo-Ramón, José-Antonio, Cano-García, José-Manuel
Published in Sensors (Basel, Switzerland) (27.06.2017)
Published in Sensors (Basel, Switzerland) (27.06.2017)
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Human Fall Detection from Depth Images using Position and Velocity of Subject
Nizam, Yoosuf, Mohd, Mohd Norzali Haji, Jamil, M. Mahadi Abdul
Published in Procedia computer science (01.01.2017)
Published in Procedia computer science (01.01.2017)
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New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images
Yang, Lei, Ren, Yanyun, Hu, Huosheng, Tian, Bo
Published in Sensors (Basel, Switzerland) (11.09.2015)
Published in Sensors (Basel, Switzerland) (11.09.2015)
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Subject-Independent Slow Fall Detection with Wearable Sensors via Deep Learning
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Depth-Based Human Fall Detection via Shape Features and Improved Extreme Learning Machine
Ma, Xin, Wang, Haibo, Xue, Bingxia, Zhou, Mingang, Ji, Bing, Li, Yibin
Published in IEEE journal of biomedical and health informatics (01.11.2014)
Published in IEEE journal of biomedical and health informatics (01.11.2014)
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mmFall: Fall Detection Using 4-D mmWave Radar and a Hybrid Variational RNN AutoEncoder
Jin, Feng, Sengupta, Arindam, Cao, Siyang
Published in IEEE transactions on automation science and engineering (01.04.2022)
Published in IEEE transactions on automation science and engineering (01.04.2022)
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Comparison of low-complexity fall detection algorithms for body attached accelerometers
Kangas, Maarit, Konttila, Antti, Lindgren, Per, Winblad, Ilkka, Jämsä, Timo
Published in Gait & posture (01.08.2008)
Published in Gait & posture (01.08.2008)
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A cross-dataset deep learning-based classifier for people fall detection and identification
Delgado-Escaño, Rubén, Castro, Francisco M., Cózar, Julián R., Marín-Jiménez, Manuel J., Guil, Nicolás, Casilari, Eduardo
Published in Computer methods and programs in biomedicine (01.02.2020)
Published in Computer methods and programs in biomedicine (01.02.2020)
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