Title :
Gesture detection and data fusion based on MPU9250 sensor
Author :
Liu Chunyang; Chen Fan; Sui Xin; Cheng Hongtao; Xu Junling; Xue Yujun
Author_Institution :
School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
A gesture detection system designed with MPU9250 sensor and MSP430F149 processor was introduced in this paper. The attitude angle can be measured with internal gyroscope sensor, accelerometer and electronic compass of MPU9250, and data fusion analysis was realized by using the optimization Kalman filter algorithm. The attitude angle noise was suppressed and the accuracy of the gesture detection was improved. The system can perform 100-time detections per second with fast response characteristics. The system was used in self-balanced robot successfully for motion gesture detection.
Keywords :
"Gyroscopes","Navigation","Optical fiber sensors","Acceleration","Accelerometers","Mathematical model","Kalman filters"
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2015 12th IEEE International Conference on
DOI :
10.1109/ICEMI.2015.7494488
