Mind in Action: Cognitive Assessment Using Action Recognition
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-39847-6_44
Reference18 articles.
1. Chen, Y., Zhang, Z., Yuan, C., Li, B., Deng, Y., Hu, W.: Channel-wise topology refinement graph convolution for skeleton-based action recognition. In: ICCV, pp. 13359–13368 (2021)
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3. Duan, H., Zhao, Y., Chen, K., Lin, D., Dai, B.: Revisiting skeleton-based action recognition. In: CVPR (2022)
4. Elmi, S., Bell, M., Tan, K.L.: Deep-Cogn: skeleton-based human action recognition for cognitive behavior assessment. In: IEEE 34th ICTAI, pp. 692–699 (2022)
5. Farha, Y.A., Gall, J.: MS-TCN: multi-stage temporal convolutional network for action segmentation. In: IEEE CVPR, pp. 3575–3584 (2019)
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