In the background of the growing demand of fall monitoring system for elderly people, a portable fall monitoring system is developed based on multiinformation fusion of triaxial acceleration sensor, plantar pressure pickup and ultrasonic ranging device. Firstly, MSP430F149 is selected as microcontroller,and the ZigBee is used for the communication between the monitoring system and data center. Secondly, the threshold technology is applied for fall recognition. The new system also had function of automatic alarm and manual lifting of the alarm. The experimental results shows that the recognition rate reaches at 99% for the body movement posture model, include the falling left, falling right, falling forward, falling backward, sitting down, jumping, and walk. The development of the system can provide function support for the IOT (internet of things) of health monitoring for elderly people, especially can help the falling people in time.