Real-Time Human Motion Capture Based on BiRNN and Inertial Sensor
Author:
Affiliation:
1. Harbin Engineering University,College of Intelligent Systems Science and Engineering,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10215380/10215516/10215889.pdf?arnumber=10215889
Reference13 articles.
1. AMASS: Archive of Motion Capture As Surface Shapes
2. Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors;trumble;Proc 28th British Machine Vision Conference,2017
3. Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera;marcard;Proc Computer Vision-ECCV,2018
4. Volumetric Performance Capture from Minimal Camera Viewpoints
5. Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data
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