MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for action segmentation using sensor-augmented kinematics

Author:

Goldbraikh AdamORCID,Shubi OmerORCID,Rubin OrORCID,Pugh Carla M.,Laufer ShlomiORCID

Funder

American College of Surgeons

National Institutes of Health

Publisher

Elsevier BV

Reference31 articles.

1. Ms-tcn++: Multi-stage temporal convolutional network for action segmentation;Li;IEEE Trans. Pattern Anal. Mach. Intell.,2020

2. Multi-task recurrent neural network for surgical gesture recognition and progress prediction;van Amsterdam,2020

3. Gesture recognition in robotic surgery with multimodal attention;Van Amsterdam;IEEE Trans. Med. Imaging,2022

4. Y. Ben-Shabat, O. Shrout, S. Gould, 3dinaction: Understanding human actions in 3d point clouds, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 19978–19987.

5. Using open surgery simulation kinematic data for tool and gesture recognition;Goldbraikh;Int. J. Comput. Assist. Radiol. Surg.,2022

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