In order to real-time monitor on elderly fall posture

a real-time elderly fall posture recognition system based on graphene/rubber sensor and MPU6050 is designed

the MSP430F149 microcontroller unit（ MCU） is used as the core of the system

which collects the output signals of the graphene/rubber sensor and the MPU6050 respectively

and judges a fall through the fall monitoring algorithm. The system reminds the danger when the fall information or the alarm information is detected. And the falling information and location is transmitted to the specified mobile phone by short message

to establish a monitoring network for the emergency center and the user’s family member. The results show that accuracy of the monitoring falls is 95. 84 %

and the identifying accuracy of the falling posture is 90. 84 %

which can realize the real-time fall posture recognition of the elderly

and distinguish 6 kinds of daily state and 6 kinds of fall postures.