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PreFallKD: Pre-Impact Fall Detection via CNN-ViT Knowledge Distillation
The experiment results show that PreFallKD could boost the student model during the testing phase and achieves reliable F1-score (92. 66%) and lead time (551. 3 ms).
Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder
Moreover, features of subtasks provided subtle information related to clinical conditions that have not been revealed in features of a complete task, especially the defined subtask 1 and 2 of each task.
Domain-adaptive Fall Detection Using Deep Adversarial Training
The proposed DAFD can transfer knowledge from the source domain to the target domain by minimizing the domain discrepancy to avoid mismatch problems.
Deep Learning Based Signal Enhancement of Low-Resolution Accelerometer for Fall Detection Systems
However, the performance of FD systems is diminished owing to low-resolution (LR) accelerometer signals.
