Sign Language Detection System Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method

Sign language is a that prioritizes communication with hands, body language, and lip movements to communicate. The deaf are the main group who use this often combining hand shape, hand, arm orientation movement, facial expressions express their thoughts. sign detection system designed using Adaptive Neuro Fuzzy Inference System (ANFIS). This study uses data from kaggle.com dataset, which site provides research on artificial intelligence. was conducted recognize empty signals. Where it will help users naturally without any additional help. test carried out set as evidenced by 1 display. In process, characteristics of were Histogram Oriented Gradient (HOG) method. Meanwhile, separate background image, used color segmentation. results process then taken for classification. classification tests accuracy much