A Smart Position Optimization Scheme for Badminton Doubles Based on Human-computer Interactive TrainingĀ in Wireless Sensor Networks

DOI: https://doi.org/10.21203/rs.3.rs-23101/v4

Abstract

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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Tables

Table 1 Comparison of various gait tactile pressure technical parameters

 

Digital Site

Texan Walkway

Rescan

SPI TACTILUS

Comprehensive precision (%)

5

10

5

10

Time resolution (Hz)

500

100

500

250

Space resolution (point / cm

9

4

2.6

2.5

Unit sensitive (points)

90,000

50,688

16,384

4,096

Combination measurement area (m2)

Configurable to any shape and face

1.39

0.62

0.62

Table 2. The situation of the teeing area

 

zone 1

zone 2

zone 3

zone 4

zone 5

zone 6

Number of shots

700

83

160

150

450

95

Percentage

42.7

5.0

10.0

9.2

27.5

5.8

Average

16.1

1.9

3.7

3.4

10.4

2.1


Table
3 statistics on the use of receiving technology

 

Push

Open

Ball

Smash

High ball

Pounce the ball

Drop ball

Pick the ball

Number of beats

757

501

207

20

9

27

107

Percentage

45

30

13

1.3

0.6

1.5

6.6

 

Table 4 Analysis of the characteristics of the five pairs of combined full-field tactics

 

Average

Usage rate

Scoring rate

Loss rate

Fall rate

Frontcourt

135.6

24.7

22.8

23.7

24.5

Midfielder

288.5

52.1

46.7

65.3

49.2

Backcourt

128.3

23.2

30.5

10.9

26.3

Total

552.4

100

100

100

100