A SKELETON FEATURES-BASED FALL DETECTION USING MICROSOFT KINECT V2 WITH ONE CLASS-CLASSIFIER OUTLIER REMOVAL

15 citations as recorded by crossref.

1. Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset H. Khan et al. 10.1016/j.imavis.2024.105195
2. Fall Detection Approaches for Monitoring Elderly HealthCare Using Kinect Technology: A Survey M. Fayad et al. 10.3390/app131810352
3. A robust multimodal detection system: physical exercise monitoring in long-term care environments N. Al Mudawi et al. 10.3389/fbioe.2024.1398291
4. Detection and classification of falling in elderly people using customized deep learning algorithm B. Abdulrahman & A. Mohammed 10.17656/jzs.10847
5. Dynamic Time Warping-Based Features With Class-Specific Joint Importance Maps for Action Recognition Using Kinect Depth Sensor H. Mohammadzade et al. 10.1109/JSEN.2021.3051497
6. Fall detection using features extracted from skeletal joints and SVM: Preliminary results C. Maldonado-Mendez et al. 10.1007/s11042-022-12405-1
7. Unifying Human Pose Estimation in the Fall Detection Problem . Egor Surkov et al. 10.1134/S1054661824701104
8. MC-LSTM: Real-Time 3D Human Action Detection System for Intelligent Healthcare Applications J. Yin et al. 10.1109/TBCAS.2021.3064841
9. Vision-Based Fall Detection Using ST-GCN O. Keskes & R. Noumeir 10.1109/ACCESS.2021.3058219
10. IR-UWB Sensor Based Fall Detection Method Using CNN Algorithm T. Han et al. 10.3390/s20205948
11. The study of skeleton description reduction in the human fall-detection task O. Seredin et al. 10.18287/2412-6179-CO-753
12. SKIP: Accurate Fall Detection Based on Skeleton Keypoint Association and Critical Feature Perception C. Du et al. 10.1109/JSEN.2024.3379167
13. Deep Neural Network–Based Double-Check Method for Fall Detection Using IMU-L Sensor and RGB Camera Data D. Lee et al. 10.1109/ACCESS.2021.3065105
14. AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons E. Ramanujam & T. Perumal 10.4018/IJACI.304727
15. Real time fall detection using infrared cameras and reflective tapes under day/night luminance E. Ramanujam & S. Padmavathi 10.3233/AIS-210605