Human Joint Skeleton Tracking Using Multiple Kinect Azure-Reference-Cited by-同舟云学术

Human Joint Skeleton Tracking Using Multiple Kinect Azure

Published:2022-08-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Electronics Symposium (IES)
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Author:

Saputra Azhar Aulia¹,Besari Adnan Rachmat Anom¹,Kubota Naoyuki¹

Affiliation:

1. Tokyo Metropolitan University,Graduate School of Systems Design,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9888260/9888270/09888532.pdf?arnumber=9888532

Reference21 articles.

1. Realtime multi-person 2d pose estimation using part affinity fields;cao;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

2. mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs

3. Applications and limitations of current markerless motion capture methods for clinical gait biomechanics

4. Marker-Less Monitoring Protocol to Analyze Biomechanical Joint Metrics During Pedaling

5. Real-time human pose recognition in parts from single depth images

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