2. INTRODUCTION
• Cricket is a sport plays between two teams consisting 11 players on each side.
• The two terms that comes with cricket are – Bat & ball
• The batting side aims to produce as many runs as possible with a fixed number of wickets and balls.
• In contrast, the bowling side has to prevent the opposition from getting runs and try to claim their wickets
3. The monitoring of cricket has advanced tremendously with the implementation of new
sensors and networking technologies.
Generally, cricket is monitored using video cameras to analyse measurements-
I. power behind every shot of a batsman
II. foot movement of a batsman
III. to generate greater bat speed.
In the last few years, sensors have gained an enormous market in the industry as a way to
track the athletes’ activity, heart rate, location, temperature, muscles, and strategy.
4. PROBLEM STATEMENT
The cameras are being used to track players. In contrast, the reliance on the camera is
reliable to a certain extent; however,
i. It is expensive.
ii. It does not provide a real-time monitoring system,
iii. Many markers are required for training which is not ideal for the sports monitoring
system.
iv. It hinders the monitoring system by providing less essential data.
5. RESEARCH OBJECTIVE
With the development of technology, the use of sensors is more reliable and cheaper as well,
which allows for real-time tracking of players instead of post reviews where the player is
off-field and cannot directly improve.
The main objective of our research is –
I. To find the optimal placement of sensors,
II. To Study the most suitable wireless medium for cricket.
III. To develop the IoT monitoring system for this study.
6. RESEARCH SCOPE
The Scope of the study is to select specific sensors and optimal sensor placement for
cricket sports only.
This research will be focusing on only specific areas of batting, , not on the whole areas
of cricket.
This project is working on only LoRa, WiFi, and Bluetooth wireless communication
medium to transfer data to the cloud.
7. LITERATURE REVIEW
In the literature review section, we will discuss
I. The overview of other sports and type of sensors and placement for various sports .
II. Type of sensors and placement for cricket only.
III. Furthermore, the data collection and used medium for different sports will also be
discussed.
IV. Finally, we will mention the methods and algorithm used for various sports.
9. Cricket Monitoring
Sports monitoring Sensor placement
Cricket Illegal Fast bowling
monitoring
Sensors were placed at the lower body
joints
cricket Spin bowling action
changing
Elbow , arm, shoulder, ball
Cricket bat speed, carry distance arm, wrist, knee, bat
Cricket arm movement arm, wrist, knee.
10. METHODOLOGY
Sports Method Used Algorithm
Basketball
High speed camera
Worn wearables
i. Random Forest (RF) algorithm
ii. Artificial Neutral Network (ANN)
iii. MATLAB
Baseball Virtual Reality
i. MATLAB
ii. Support Vector Machine (SVM)
algorithm
Tennis
Action Camera (Go Pro) Virtual
Reality
i. Convolution neutral network
(CNN)
ii. k-nearest neighbors (k-NN)
algorithm
Baseball
High-speed camera (300Hz)
Worn wearables
i. Support Vector Machine (SVM)
ii. MATLAB
11. Proposed system
Instead of video-based cricket monitoring system, we will create an IoT architecture using
sensors and will use the best wireless medium between LoRA, WiFi and Bluetooth comparing
them.
Sensors like 3D accelerometer and gyroscope will be used . It provides higher level of
information. Sound sensor and EMG sensor will be added in the bat and muscle respectively.
MATLAB and Support Vector Machine (SVM) is the most used and accurate in sports arena.
We will use MATLAB for real time graphical display from data of 3D accelerometer and gyro
sensor.
Sensors will be placed in Bat, head, shoulder and wrist for our initial work.
12. PRELIMINARY RESULT
The expected results of our research is to find:
1. Optimal placement of sensors for cricket.
2. Best wireless communication medium selection between LoRA, wi-fi and
Bluetooth.
3. Head Angle which generates the best power behind every shot.
4. How head movement during a shot that enhances the ability to hit more
effectively.
13. CONCLUSION
Most of the sports monitoring system are based on video
monitoring.
Our aim is to find better performance using sensors in cricket
sports monitoring system.
We will determine how effectively we can monitor the parameters
for this project.
14. FUTURE PLAN
We will intend to categorize missed shots in the future, classify edges,
and will try to demonstrate more cricket shots monitoring system.
While more work remains to be done, we may infer that it is possible to
conduct automated cricket commentary using a sensor-based device.
