Enhancing Passenger Safety in an Autonomous Bus: A Multimodal Fall Detection Approach for Effective Remote Monitoring
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61963-2_17
Reference11 articles.
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2. Zhang, X., Ji, J., Wang, L., He, Z., Liu, S.: Image-based fall detection in bus compartment scene. IET Image Process. 17, 118–119 (2023)
3. Wang, C.-Y., Bochkovskiy, A., Liao, H.-Y.M.: YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors. in (2023). https://doi.org/10.1109/cvpr52729.2023.00721
4. Hochreiter, S., Schmidhuber, J.: Long Short-Term Memory. Neural Comput. 9, 1735–1780 (1997)
5. García, E., et al.: Towards effective detection of elderly falls with CNN-LSTM neural networks. Neurocomputing 500, 231–240 (2022)
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