Wearable motion capture systems which measure the motion data using distributed inertial measurement units on human segment have been widely studied to overcome limitation of existing optical motion capture system. Distributed IMU network send the measured data using wireless communication device such as zigbee, bluetooth and RF. The zigbee device used to wireless communication because of low power consumption and low cost, but have data loss or delay problem which cause unnatural human movement. In this study, we examined the data loss rate as a function of number of sensor and sampling frequency during zigbee wireless communication to apply motion capture system. The motion capture system consists of 3 sensing module, and each module consists of 9 axis IMU, MCU and zigbee. The MCU collect the motion data from IMU, and send the sensor fusion data as a form of quaternion with module number through zigbee. The results showed that the data loss rate was increased with the increasing number of sensors and higher sampling frequency.We was determine the appropriate number and sampling frequency of sensor for real-time motion capture. From these results, proposed wearable motion capture system could be applied to real-time monitoring systems such as human walking day life or rehabilitation in hospital and sports analysis.