An adavanced Gesture Recognition Using Machine Learning
M Lukhman Hyder, Sk Hasane Ahammad, K. Tarun, K. Saikumar, M. V. D. Prasad, V. Sivakumar Reddy · 2022
A hand gesture recognition system is a good idea to work interaction with a computer system, so that we can make a machine that will take some kind of snaps and perform actions accordingly, the focus on gesture motion is to develop a system for better communication between humans and computers. This paper presents a systematic study of all last year's papers for 2016 to 2019. It displays every technique that was employed to recognize hand gestures. A thorough survey of the scientific literature on gestures movement that deals with touch-free computing machines in the adjacent surroundings. This method includes touchless gesture interaction. Around 50 papers were identified and analyzed of them, and from there only 20 papers I found the same concept of gesture motion. Most of the identified literature (62%) deals with the control of gesture motion. Another one offers interactive methods for various types of notions. In the last few years back touchless interaction with computer system approaches. Though few were examined systematically in the real world and the rest of the other placed a different priority on the topic. Further research is required to cope with the current limitations of touchless interaction. The main challenges for future research are the improvement and evaluation of usability and touchless human-computer interaction and the further development of hands-free interaction. The accuracy was 96.67%, recall 98.73%, F1 measure 98.23%, and throughput 97.82% had been attained which is a good improvement.