The Design of Binocular Human Fall Detection System Based on Fusion of Vision and Multi-sensor Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2124-5_37
Reference7 articles.
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3. Harrou, F., Zerrouki, N., Sun, Y., et al.: An integrated vision-based approach for efficient human fall detection in a home environment. IEEE Access 7, 114966–114974 (2019)
4. Yulastri, Madona, E., Ulfa, S., et al.: Implementation of IMU sensor for fall detection in dementia syndrome patients with location notification system. J. Phys.: Conf. Ser. 2406(1), 012010 (2022). https://doi.org/10.1088/1742-6596/2406/1/012010
5. Su, Y., Xu, T., Zhang, Z., et al.: Real-time wide-depth-range pose estimation with laser scanning point cloud. J. Phys.: Conf. Ser. 2203(1), 012011 (2022). https://doi.org/10.1088/1742-6596/2203/1/012011
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