Design of data-glove and Chinese sign language recognition system based on ARM9

This paper presents the design and implementation of data glove and sign language recognition system based on an ARM9 and combined flex sensors with 9-axis IMU sensor. Not only can it measure bending degree of fingers as well as hand gesture, but can recognize simple sign language. The use of serial port or Bluetooth transmitted to the embedded systems make the device more portable. Through Real-time collection of data and time domain analysis, getting corresponding gesture by matching the data in the processor. This system has realized the gestures to voice and text real-time conversion to help the deaf-mute communicate with outside world more easily. This system also has the characteristics of portable, scalable and high efficiency of sign language recognition.