Novel pattern recognition technique for an intelligent cricket decision making system

This paper presents a novel time-frequency based pattern recognition technique for an intelligent cricket decision making system using Snickoanalysis. A snickometer is used to detect and analyze the weak audio signals coming from bat and ball contact for better decision making system in cricket match. However, the audio signals detected using snickometer needs to be used along with slow motion video for the offline analysis to make a decision. This method has limitations in analyzing the multiple sounds leading to wrong decision. To overcome the limitations of snickometer analysis and to improve the accuracy of decision making system in cricket a novel time-frequency based pattern recognition technique was proposed for an effective cricket decision making system using snickosignals. Experiments were conducted to simulate and record snickometer signals using PC micro-phone with the help of RAVEN LITE software. A simple time-frequency based pattern recognition technique was developed and tested. The performance of the proposed technique is found be satisfactory and suitable for the development of robust decision making system using Snickoanalysis.