Modelling of Sign Language Smart Glove Based on Bit Equivalent Implementation Using Flex Sensor
Nitin Thoppey Muralidharan, Rahul Ram S., M. R. Rohidh, Senthil Nathan M., M.E. Harikumar · 2022
Breaks down boundaries and inspires creativity. These are just a few examples of how communication affects the world around us. Many successful people use this tremendous tool of communication to change the world, while others with disabilities in speech, hearing, or having multiple disabilities use sign language to change the world. However, the disadvantage of employing sign language is that not everyone would be able to understand it. To address this issue, a sensor-based system is proposed with five flex sensors put on five fingers as binary bits, yielding a total of 32 options in this study. In addition, this proposal includes two options for broadening the reach of terms. This proposed model eliminates the need for other types of sensors besides flex sensors, lowering production costs significantly. It is more accurate and efficient than vision-based approaches because it is sensor-based. Because of this project, people who do not understand sign language can communicate easily with people who have speech or hearing problems.