Resrarch Of Data Glove Based On Micro Inertial Technology

People use gestures to express ideas, perceives the objective world,complete various operations. Data glove is a real hardware to measurehand gesture, at the same time the important equipment in virtual realitysystem. It can track the gestures, measure the finger posture information.The development of MEMS technology and the improvement of its craftare contributed to sensors’ microminiaturization, intelligence and low cost.The micro inertial sensors are to possess high precision, low cost, highreliability as well. The maturity of the inertial navigation technology andthe improvement of the performance of micro inertial sensors with lowcost laid the foundation for the development of micro attitudemeasurement system. Data glove based on the micro inertial technologyused MEMS sensors (triaxial gyro, three-axis accelerometer and three-axismagnetometer) combined with inertial measurement principle to get thewhole finger posture information. It is different from the optics image typeor optical fiber sensing technology This data glove is easy to wear, notbound by light and has strong anti-jamming capability.Data glove is a real-time system, it should trace the current gesture. Inorder to meet the requirements of high update rate, it puts forwards thefourth-order Picard to calculate the attitude angle and uses kalman filteringtechnology to further reduce the error. Hand model is proposed and theconstraint of hand movements is analyzed in this paper. Multi-sensorfusion technology is used to avoid the impossible shape of the hand in thecontrol system. In addition, theory of neural network is contributed to thereduction of the number of sensors on the premise of correct hand shape.Data glove consists of many micro inertial attitude measurementsystems which are fixed on the joints and control system which is fixed on the back of hand. Design of the measurement system and control unit arecompleted in the paper. Hand motion learning method is used to calculatethe whole shape of the hand and it works well.3D gesture image canmoves as human’s hand in PC under the help of Opengl and MFC. Testingand experiment results show that, combined by the theory and methodrecommended in this paper, data glove based on micro inertial attitudemeasurement system is stable and reliable, meets the design requirements.