Using an Ensemble of Deep Neural Networks to Detect Human Keypoints in the Workspace of a Collaborative Robotic System-Reference-Cited by-同舟云学术

Using an Ensemble of Deep Neural Networks to Detect Human Keypoints in the Workspace of a Collaborative Robotic System

Published:2023-06-13 Issue: Volume: Page:
ISSN:
Container-title:INTELS’22
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Author:

Ivanov Yuri¹^ORCID,Zhiganov Sergey¹^ORCID,Gorkavyy Mikhail¹^ORCID,Sukhorukov Sergey¹^ORCID,Grabar Daniil¹^ORCID

Affiliation:

1. Department of Energy and Management, Komsomolsk-na-Amure State University, 681013 Komsomolsk-na-Amur, Russia

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/33/1/19/pdf

Reference26 articles.

1. Ivanov, Y.S., and Kosichkov, A.O. (2020, January 6–9). Recognition and Control of the Athlete’s Movements Using a Wearable Electronics System. Proceedings of the International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, Russia.

2. Using the deep neural networks for normal and abnormal situation recognition in the automatic access monitoring and control system of vehicles;Amosov;Neural Comput. Appl.,2020

3. Using the Ensemble of Deep Neural Networks for Normal and Abnormal Situations Detection and Recognition in the Continuous Video Stream of the Security System;Amosov;Procedia Comput. Sci.,2019

4. Ikeuchi, K. (2014). Human Pose Estimation, Springer. Computer Vision.

5. Gril, L., Wedenig, P., Torkar, C., and Kleb, U. (2022, June 15). A Tensor Based Regression Approach for Human Motion Prediction. Available online: https://arxiv.org/abs/2202.03179.

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