Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding

We propose an intelligent human−unmanned aerial vehicle (UAV) interaction system, in which, instead of using the conventional remote controller, the UAV flight actions are controlled by a deep learning-based action−gesture joint detection system. The Resnet-based scene-understand...

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Main Authors: Bo Chen, Chunsheng Hua, Decai Li, Yuqing He, Jianda Han
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/16/3277
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author Bo Chen
Chunsheng Hua
Decai Li
Yuqing He
Jianda Han
author_facet Bo Chen
Chunsheng Hua
Decai Li
Yuqing He
Jianda Han
author_sort Bo Chen
collection DOAJ
description We propose an intelligent human−unmanned aerial vehicle (UAV) interaction system, in which, instead of using the conventional remote controller, the UAV flight actions are controlled by a deep learning-based action−gesture joint detection system. The Resnet-based scene-understanding algorithm is introduced into the proposed system to enable the UAV to adjust its flight strategy automatically, according to the flying conditions. Meanwhile, both the deep learning-based action detection and multi-feature cascade gesture recognition methods are employed by a cross-validation process to create the corresponding flight action. The effectiveness and efficiency of the proposed system are confirmed by its application to controlling the flight action of a real flying UAV for more than 3 h.
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spelling doaj.art-726d3f6061754c9b8f995dea76cce4d82022-12-22T02:22:27ZengMDPI AGApplied Sciences2076-34172019-08-01916327710.3390/app9163277app9163277Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene UnderstandingBo Chen0Chunsheng Hua1Decai Li2Yuqing He3Jianda Han4State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110000, ChinaCollege of Information, Liaoning University, Shenyang 110000, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110000, ChinaState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110000, ChinaInstitute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin 300000, ChinaWe propose an intelligent human−unmanned aerial vehicle (UAV) interaction system, in which, instead of using the conventional remote controller, the UAV flight actions are controlled by a deep learning-based action−gesture joint detection system. The Resnet-based scene-understanding algorithm is introduced into the proposed system to enable the UAV to adjust its flight strategy automatically, according to the flying conditions. Meanwhile, both the deep learning-based action detection and multi-feature cascade gesture recognition methods are employed by a cross-validation process to create the corresponding flight action. The effectiveness and efficiency of the proposed system are confirmed by its application to controlling the flight action of a real flying UAV for more than 3 h.https://www.mdpi.com/2076-3417/9/16/3277action detectiongesture recognitionscene understandingjoint cross validation
spellingShingle Bo Chen
Chunsheng Hua
Decai Li
Yuqing He
Jianda Han
Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding
Applied Sciences
action detection
gesture recognition
scene understanding
joint cross validation
title Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding
title_full Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding
title_fullStr Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding
title_full_unstemmed Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding
title_short Intelligent Human–UAV Interaction System with Joint Cross-Validation over Action–Gesture Recognition and Scene Understanding
title_sort intelligent human uav interaction system with joint cross validation over action gesture recognition and scene understanding
topic action detection
gesture recognition
scene understanding
joint cross validation
url https://www.mdpi.com/2076-3417/9/16/3277
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AT yuqinghe intelligenthumanuavinteractionsystemwithjointcrossvalidationoveractiongesturerecognitionandsceneunderstanding
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