Abstract:

To solve the low recognition rate and complex algorithm of human body posture in WBAN(Wireless Body Area Network), a hierarchical theory is employed to design a human body posture hierarchical recognition algorithm. Considering the comfort level of the user, the nine axis acceleration gyroscope sensor (VG350) is placed into a belt worn at the waist to collect real-time data. Use of acceleration SVM ( Signal Vector Magnitude), angle, angular acceleration and displacement recognized five gestures (sit, squat, stoop, walk and run) by analyzing collected data. The experimental results show that the algorithm is simple and posture recognition rate is up to 96. 5%.

Key words: information processing technology, acceleration signal vector magnitude, body posture hierarchical recognition algorithm, acceleration gyroscope sensor