A Smart Position Optimization Scheme for Badminton Doubles Based on Human-computer Interactive Training in Wireless Sensor Networks
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.
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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.
Posted 23 Sep, 2020
On 12 Nov, 2020
On 13 Oct, 2020
Received 27 Sep, 2020
Received 27 Sep, 2020
Received 26 Sep, 2020
On 25 Sep, 2020
On 25 Sep, 2020
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On 23 Sep, 2020
On 22 Sep, 2020
On 21 Sep, 2020
On 21 Sep, 2020
Posted 01 Aug, 2020
On 09 Sep, 2020
Received 01 Sep, 2020
Received 28 Aug, 2020
Received 26 Aug, 2020
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Received 04 Aug, 2020
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Received 03 Aug, 2020
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Received 16 Jul, 2020
On 16 Jul, 2020
Received 15 Jul, 2020
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On 13 Jul, 2020
On 04 Jul, 2020
Received 04 Jul, 2020
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On 04 Jul, 2020
On 29 Jun, 2020
On 28 Jun, 2020
On 28 Jun, 2020
On 28 May, 2020
Received 25 May, 2020
Received 23 May, 2020
Received 23 May, 2020
On 17 May, 2020
Invitations sent on 16 May, 2020
On 16 May, 2020
On 16 May, 2020
On 13 May, 2020
On 12 May, 2020
On 22 Apr, 2020
On 21 Apr, 2020
A Smart Position Optimization Scheme for Badminton Doubles Based on Human-computer Interactive Training in Wireless Sensor Networks
Posted 23 Sep, 2020
On 12 Nov, 2020
On 13 Oct, 2020
Received 27 Sep, 2020
Received 27 Sep, 2020
Received 26 Sep, 2020
On 25 Sep, 2020
On 25 Sep, 2020
Invitations sent on 23 Sep, 2020
On 23 Sep, 2020
On 22 Sep, 2020
On 21 Sep, 2020
On 21 Sep, 2020
Posted 01 Aug, 2020
On 09 Sep, 2020
Received 01 Sep, 2020
Received 28 Aug, 2020
Received 26 Aug, 2020
On 20 Aug, 2020
On 19 Aug, 2020
Invitations sent on 18 Aug, 2020
On 18 Aug, 2020
On 16 Aug, 2020
On 15 Aug, 2020
On 15 Aug, 2020
On 06 Aug, 2020
Received 04 Aug, 2020
On 03 Aug, 2020
Received 03 Aug, 2020
Received 03 Aug, 2020
On 02 Aug, 2020
On 01 Aug, 2020
Invitations sent on 31 Jul, 2020
On 28 Jul, 2020
On 27 Jul, 2020
On 27 Jul, 2020
Received 16 Jul, 2020
On 16 Jul, 2020
Received 15 Jul, 2020
On 13 Jul, 2020
On 13 Jul, 2020
On 04 Jul, 2020
Received 04 Jul, 2020
Invitations sent on 04 Jul, 2020
On 04 Jul, 2020
On 29 Jun, 2020
On 28 Jun, 2020
On 28 Jun, 2020
On 28 May, 2020
Received 25 May, 2020
Received 23 May, 2020
Received 23 May, 2020
On 17 May, 2020
Invitations sent on 16 May, 2020
On 16 May, 2020
On 16 May, 2020
On 13 May, 2020
On 12 May, 2020
On 22 Apr, 2020
On 21 Apr, 2020
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.