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ROpenPose: A Rapider OpenPose Model for Astronaut Operation Attitude Detection.

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Title: ROpenPose: A Rapider OpenPose Model for Astronaut Operation Attitude Detection.
Authors: Wu, Edmond Q.1 edmondqwu@gmail.com, Tang, Zhi-Ri2 gerin.tang@my.cityu.edu.hk, Xiong, Pengwen3 steven.xpw@ncu.edu.cn, Wei, Chuan-Feng4 57410703@qq.com, Song, Aiguo5 a.g.song@seu.edu.cn, Zhu, Li-Min6 zhulm@sjtu.edu.cn
Source: IEEE Transactions on Industrial Electronics. Jan2022, Vol. 69 Issue 1, p1043-1052. 10p.
Subjects: Space vehicles, Astronauts, Running speed, Attitude (Psychology), Computational complexity
Abstract: This article proposes a rapider OpenPose model (ROpenPose) to solve the posture detection problem of astronauts in a space capsule in a weightless environment. The ROpenPose model has three innovations as follows: 1) It uses MobileNets instead of VGG-19 to achieve lighter calculations while ensuring the accuracy of model recognition. 2) Three small convolution kernels replace the large convolution kernel of the original OpenPose, which significantly reduces the computational complexity of the model. 3) Through the parameter sharing of a convolution process, the original two-branch structure is changed to a single-branch structure, which obviously improves the calculation speed of the model. A residual network is proposed to suppress the hidden danger of gradient disappearance. The deployment of ROpenPose greatly improves astronauts’ detection efficiency while ensuring their high detection performance, and thereby realizing the real-time monitoring of their operation attitude. Experimental results show that ROpenPose runs at speed higher than and detection performance comparable to a number of the existing state-of-the-art models. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Industrial Electronics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 153711635
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PubTypeId: academicJournal
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  Data: ROpenPose: A Rapider OpenPose Model for Astronaut Operation Attitude Detection.
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Edmond+Q%2E%22">Wu, Edmond Q.</searchLink><relatesTo>1</relatesTo><i> edmondqwu@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Tang%2C+Zhi-Ri%22">Tang, Zhi-Ri</searchLink><relatesTo>2</relatesTo><i> gerin.tang@my.cityu.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Xiong%2C+Pengwen%22">Xiong, Pengwen</searchLink><relatesTo>3</relatesTo><i> steven.xpw@ncu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wei%2C+Chuan-Feng%22">Wei, Chuan-Feng</searchLink><relatesTo>4</relatesTo><i> 57410703@qq.com</i><br /><searchLink fieldCode="AR" term="%22Song%2C+Aiguo%22">Song, Aiguo</searchLink><relatesTo>5</relatesTo><i> a.g.song@seu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Li-Min%22">Zhu, Li-Min</searchLink><relatesTo>6</relatesTo><i> zhulm@sjtu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Industrial+Electronics%22">IEEE Transactions on Industrial Electronics</searchLink>. Jan2022, Vol. 69 Issue 1, p1043-1052. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Space+vehicles%22">Space vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Astronauts%22">Astronauts</searchLink><br /><searchLink fieldCode="DE" term="%22Running+speed%22">Running speed</searchLink><br /><searchLink fieldCode="DE" term="%22Attitude+%28Psychology%29%22">Attitude (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink>
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  Label: Abstract
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  Data: This article proposes a rapider OpenPose model (ROpenPose) to solve the posture detection problem of astronauts in a space capsule in a weightless environment. The ROpenPose model has three innovations as follows: 1) It uses MobileNets instead of VGG-19 to achieve lighter calculations while ensuring the accuracy of model recognition. 2) Three small convolution kernels replace the large convolution kernel of the original OpenPose, which significantly reduces the computational complexity of the model. 3) Through the parameter sharing of a convolution process, the original two-branch structure is changed to a single-branch structure, which obviously improves the calculation speed of the model. A residual network is proposed to suppress the hidden danger of gradient disappearance. The deployment of ROpenPose greatly improves astronauts’ detection efficiency while ensuring their high detection performance, and thereby realizing the real-time monitoring of their operation attitude. Experimental results show that ROpenPose runs at speed higher than and detection performance comparable to a number of the existing state-of-the-art models. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Industrial Electronics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/TIE.2020.3048285
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        Text: English
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        Type: general
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      – SubjectFull: Running speed
        Type: general
      – SubjectFull: Attitude (Psychology)
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      – SubjectFull: Computational complexity
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      – TitleFull: ROpenPose: A Rapider OpenPose Model for Astronaut Operation Attitude Detection.
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              Text: Jan2022
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