180 related articles for article (PubMed ID: 29443923)
1. On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection.
Tsinganos P; Skodras A
Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29443923
[TBL] [Abstract][Full Text] [Related]
2. An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice.
Özdemir AT
Sensors (Basel); 2016 Jul; 16(8):. PubMed ID: 27463719
[TBL] [Abstract][Full Text] [Related]
3. A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection.
Zurbuchen N; Wilde A; Bruegger P
Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33573347
[TBL] [Abstract][Full Text] [Related]
4. Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.
Palmerini L; Klenk J; Becker C; Chiari L
Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33202738
[TBL] [Abstract][Full Text] [Related]
5. Wearable Embedded Intelligence for Detection of Falls Independently of on-Body Location.
Alves J; Silva J; Grifo E; Resende C; Sousa I
Sensors (Basel); 2019 May; 19(11):. PubMed ID: 31141885
[TBL] [Abstract][Full Text] [Related]
6. A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors.
Zhang J; Li J; Wang W
Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640830
[TBL] [Abstract][Full Text] [Related]
7. A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials.
Aziz O; Musngi M; Park EJ; Mori G; Robinovitch SN
Med Biol Eng Comput; 2017 Jan; 55(1):45-55. PubMed ID: 27106749
[TBL] [Abstract][Full Text] [Related]
8. Hardware/Software Co-design of Fractal Features based Fall Detection System.
Tahir A; Morison G; Skelton DA; Gibson RM
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32325712
[TBL] [Abstract][Full Text] [Related]
9. A Study of One-Class Classification Algorithms for Wearable Fall Sensors.
Santoyo-Ramón JA; Casilari E; Cano-García JM
Biosensors (Basel); 2021 Aug; 11(8):. PubMed ID: 34436087
[TBL] [Abstract][Full Text] [Related]
10. Analysis of Public Datasets for Wearable Fall Detection Systems.
Casilari E; Santoyo-Ramón JA; Cano-García JM
Sensors (Basel); 2017 Jun; 17(7):. PubMed ID: 28653991
[TBL] [Abstract][Full Text] [Related]
11. Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning.
Althobaiti T; Katsigiannis S; Ramzan N
Sensors (Basel); 2020 Jul; 20(13):. PubMed ID: 32640526
[TBL] [Abstract][Full Text] [Related]
12. The Applications of Metaheuristics for Human Activity Recognition and Fall Detection Using Wearable Sensors: A Comprehensive Analysis.
Al-Qaness MAA; Helmi AM; Dahou A; Elaziz MA
Biosensors (Basel); 2022 Oct; 12(10):. PubMed ID: 36290958
[TBL] [Abstract][Full Text] [Related]
13. Fall Detection for the Elderly Based on 3-Axis Accelerometer and Depth Sensor Fusion with Random Forest Classifier.
Kim K; Yun G; Park SK; Kim DH
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():4611-4614. PubMed ID: 31946891
[TBL] [Abstract][Full Text] [Related]
14. An Enhanced Ensemble Deep Neural Network Approach for Elderly Fall Detection System Based on Wearable Sensors.
Mohammad Z; Anwary AR; Mridha MF; Shovon MSH; Vassallo M
Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430686
[TBL] [Abstract][Full Text] [Related]
15. Covariance matrix based fall detection from multiple wearable sensors.
Boutellaa E; Kerdjidj O; Ghanem K
J Biomed Inform; 2019 Jun; 94():103189. PubMed ID: 31029654
[TBL] [Abstract][Full Text] [Related]
16. Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor.
Ejupi A; Galang C; Aziz O; Park EJ; Robinovitch S
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():2150-2153. PubMed ID: 29060322
[TBL] [Abstract][Full Text] [Related]
17. Fall-detection solution for mobile platforms using accelerometer and gyroscope data.
De Cillisy F; De Simioy F; Guidoy F; Incalzi RA; Setolay R
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3727-30. PubMed ID: 26737103
[TBL] [Abstract][Full Text] [Related]
18. Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: a machine learning approach.
Bourke AK; Klenk J; Schwickert L; Aminian K; Ihlen EA; Mellone S; Helbostad JL; Chiari L; Becker C
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3712-3715. PubMed ID: 28269098
[TBL] [Abstract][Full Text] [Related]
19. Predicting a Fall Based on Gait Anomaly Detection: A Comparative Study of Wrist-Worn Three-Axis and Mobile Phone-Based Accelerometer Sensors.
Kocuvan P; Hrastič A; Kareska A; Gams M
Sensors (Basel); 2023 Oct; 23(19):. PubMed ID: 37837123
[TBL] [Abstract][Full Text] [Related]
20. Smart Wearables with Sensor Fusion for Fall Detection in Firefighting.
Chai X; Wu R; Pike M; Jin H; Chung WY; Lee BG
Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695983
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
