GESTURE ANALYSIS AND RECOGNITION BASED ON MEMS SENSORS

vThis study covers the use of Micro-Electro-mechanical system (MEMS) sensors and communication with Bluetooth to transmit sensor data in order to understand the shape drawn into the air.

vIt is important for people, especially children with speech disabilities, to be understood by the characters such as commands, shapes, letters or numbers that are given by their hand or arm movements.

vHand movements have been recognized using hidden Markov model algorithm in MATLAB.

vThe empirical studies have shown that the system can successfully recognize the generated gestures.