See the published version of this article at EURASIP Journal on Wireless Communications and Networking.
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A Smart Position Optimization Scheme for Badminton Doubles Based on Human-computer Interactive Training in Wireless Sensor Networks
Bo Yao
Dalian Maritime University
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at EURASIP Journal on Wireless Communications and Networking.
In the continuous development process, robot technology based on multimedia interactions has been widely used in aerospace, medical, education and service industries. The relationship between robots and humans is getting closer. The improvement of robot intelligence is a process of continuously learning the outside world. Since 1959, multimedia human-computer interaction technology has provided more and more technical support for human research robots. In this paper, we firstly study the characteristics of badminton competition, including the technical characteristics, tactics characteristics, and the collection requirements about on-site training. The technical description of the badminton doubles station is also completed. Furthermore, in terms of the digitalization of the gait-based sensation, the automated acquisition of the gait technology, the simultaneously with the video, and the high-speed imaging system, the system implement information is integrated. After that, badminton multimedia techniques and tactics are designed based on the extensive statistical analysis. The skills and tactics of athletes are expressed in the form of video, graphics and text. Finally, the operators can carry out the technical and tactical analysis processes through good human-computer interactions. This increases the end user's game information. The related attention and understanding can strengthen the strength and depth of technical and tactical ability analysis. Thus, we propose the station optimization plan for badminton doubles.
Keywords
Multimedia human-computer interaction; Badminton doubles; Station optimization; Wireless sensor networks
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CURRENT STATUS: Published
Version 4
Posted 23 Sep, 2020
Published
On 12 Nov, 2020
No community comments so far
Editorial decision: Accept
On 13 Oct, 2020
Review #3 received
Received 27 Sep, 2020
Review #2 received
Received 27 Sep, 2020
Review #1 received
Received 26 Sep, 2020
Reviewer #2 agreed
On 25 Sep, 2020
Reviewer #3 agreed
On 25 Sep, 2020
Reviewers invited
Invitations sent on 23 Sep, 2020
Reviewer #1 agreed
On 23 Sep, 2020
Editor assigned
On 22 Sep, 2020
Submission checks complete
On 21 Sep, 2020
Editor invited
On 21 Sep, 2020
Version (no preprint)
Posted 01 Aug, 2020
Editorial decision: Minor revision
On 09 Sep, 2020
Review #1 received
Received 01 Sep, 2020
Review #2 received
Received 28 Aug, 2020
Review #3 received
Received 26 Aug, 2020
Reviewer #3 agreed
On 20 Aug, 2020
Reviewer #2 agreed
On 19 Aug, 2020
Reviewers invited
Invitations sent on 18 Aug, 2020
Reviewer #1 agreed
On 18 Aug, 2020
Editor assigned
On 16 Aug, 2020
Submission checks complete
On 15 Aug, 2020
Editor invited
On 15 Aug, 2020
This version was not preprinted
No comments provided
Editorial decision: Minor revision
On 06 Aug, 2020
Review #3 received
Received 04 Aug, 2020
Reviewer #3 agreed
On 03 Aug, 2020
Review #1 received
Received 03 Aug, 2020
Review #2 received
Received 03 Aug, 2020
Reviewer #2 agreed
On 02 Aug, 2020
Reviewer #1 agreed
On 01 Aug, 2020
Reviewers invited
Invitations sent on 31 Jul, 2020
Editor assigned
On 28 Jul, 2020
Submission checks complete
On 27 Jul, 2020
Editor invited
On 27 Jul, 2020
No comments provided
Review #3 received
Received 16 Jul, 2020
Editorial decision: Minor revision
On 16 Jul, 2020
Review #2 received
Received 15 Jul, 2020
Reviewer #3 agreed
On 13 Jul, 2020
Reviewer #4 agreed
On 13 Jul, 2020
Reviewer #2 agreed
On 04 Jul, 2020
Review #1 received
Received 04 Jul, 2020
Reviewers invited
Invitations sent on 04 Jul, 2020
Reviewer #1 agreed
On 04 Jul, 2020
Editor assigned
On 29 Jun, 2020
Submission checks complete
On 28 Jun, 2020
Editor invited
On 28 Jun, 2020
No comments provided
Editorial decision: Major revision
On 28 May, 2020
Review #3 received
Received 25 May, 2020
Review #1 received
Received 23 May, 2020
Review #2 received
Received 23 May, 2020
Reviewer #3 agreed
On 17 May, 2020
Reviewers invited
Invitations sent on 16 May, 2020
Reviewer #1 agreed
On 16 May, 2020
Reviewer #2 agreed
On 16 May, 2020
Editor assigned
On 13 May, 2020
Editor invited
On 12 May, 2020
Submission checks complete
On 22 Apr, 2020
First submitted
On 21 Apr, 2020
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This preprint is under consideration at EURASIP Journal on Wireless Communications and Networking. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
A Smart Position Optimization Scheme for Badminton Doubles Based on Human-computer Interactive Training in Wireless Sensor Networks
Bo Yao
Dalian Maritime University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
Version 4
Posted 23 Sep, 2020
Published
On 12 Nov, 2020
No community comments so far
Editorial decision: Accept
On 13 Oct, 2020
Review #3 received
Received 27 Sep, 2020
Review #2 received
Received 27 Sep, 2020
Review #1 received
Received 26 Sep, 2020
Reviewer #2 agreed
On 25 Sep, 2020
Reviewer #3 agreed
On 25 Sep, 2020
Reviewers invited
Invitations sent on 23 Sep, 2020
Reviewer #1 agreed
On 23 Sep, 2020
Editor assigned
On 22 Sep, 2020
Submission checks complete
On 21 Sep, 2020
Editor invited
On 21 Sep, 2020
Version (no preprint)
Posted 01 Aug, 2020
Editorial decision: Minor revision
On 09 Sep, 2020
Review #1 received
Received 01 Sep, 2020
Review #2 received
Received 28 Aug, 2020
Review #3 received
Received 26 Aug, 2020
Reviewer #3 agreed
On 20 Aug, 2020
Reviewer #2 agreed
On 19 Aug, 2020
Reviewers invited
Invitations sent on 18 Aug, 2020
Reviewer #1 agreed
On 18 Aug, 2020
Editor assigned
On 16 Aug, 2020
Submission checks complete
On 15 Aug, 2020
Editor invited
On 15 Aug, 2020
This version was not preprinted
No comments provided
Editorial decision: Minor revision
On 06 Aug, 2020
Review #3 received
Received 04 Aug, 2020
Reviewer #3 agreed
On 03 Aug, 2020
Review #1 received
Received 03 Aug, 2020
Review #2 received
Received 03 Aug, 2020
Reviewer #2 agreed
On 02 Aug, 2020
Reviewer #1 agreed
On 01 Aug, 2020
Reviewers invited
Invitations sent on 31 Jul, 2020
Editor assigned
On 28 Jul, 2020
Submission checks complete
On 27 Jul, 2020
Editor invited
On 27 Jul, 2020
No comments provided
Review #3 received
Received 16 Jul, 2020
Editorial decision: Minor revision
On 16 Jul, 2020
Review #2 received
Received 15 Jul, 2020
Reviewer #3 agreed
On 13 Jul, 2020
Reviewer #4 agreed
On 13 Jul, 2020
Reviewer #2 agreed
On 04 Jul, 2020
Review #1 received
Received 04 Jul, 2020
Reviewers invited
Invitations sent on 04 Jul, 2020
Reviewer #1 agreed
On 04 Jul, 2020
Editor assigned
On 29 Jun, 2020
Submission checks complete
On 28 Jun, 2020
Editor invited
On 28 Jun, 2020
No comments provided
Editorial decision: Major revision
On 28 May, 2020
Review #3 received
Received 25 May, 2020
Review #1 received
Received 23 May, 2020
Review #2 received
Received 23 May, 2020
Reviewer #3 agreed
On 17 May, 2020
Reviewers invited
Invitations sent on 16 May, 2020
Reviewer #1 agreed
On 16 May, 2020
Reviewer #2 agreed
On 16 May, 2020
Editor assigned
On 13 May, 2020
Editor invited
On 12 May, 2020
Submission checks complete
On 22 Apr, 2020
First submitted
On 21 Apr, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Systems and Networking
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published version at EURASIP Journal on Wireless Communications and Networking.
In the continuous development process, robot technology based on multimedia interactions has been widely used in aerospace, medical, education and service industries. The relationship between robots and humans is getting closer. The improvement of robot intelligence is a process of continuously learning the outside world. Since 1959, multimedia human-computer interaction technology has provided more and more technical support for human research robots. In this paper, we firstly study the characteristics of badminton competition, including the technical characteristics, tactics characteristics, and the collection requirements about on-site training. The technical description of the badminton doubles station is also completed. Furthermore, in terms of the digitalization of the gait-based sensation, the automated acquisition of the gait technology, the simultaneously with the video, and the high-speed imaging system, the system implement information is integrated. After that, badminton multimedia techniques and tactics are designed based on the extensive statistical analysis. The skills and tactics of athletes are expressed in the form of video, graphics and text. Finally, the operators can carry out the technical and tactical analysis processes through good human-computer interactions. This increases the end user's game information. The related attention and understanding can strengthen the strength and depth of technical and tactical ability analysis. Thus, we propose the station optimization plan for badminton doubles.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.