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This paper contains the development and analysis of the human motion state and the algorithm of the fall prediction based on the double foot pressure and the micro inertial MEMS sensors. The fall prediction hardware system consists of three parts, the double foot nodes and the waist node and how it was designed, which could measure the foot pressure parameters and the inertial parameters in different...
According to the principle of electronic compass, we analyze the error of the E-compass and propose a calibration scheme in view of magnetic deviation, which is based on the self-designed tri-axial magnetometer system. The hardware is made by tri-axial magnetometer and tri-axial accelerometer. Considering the magnetic interference of the external environment will affect the magnetic deviation, we...
This paper presents a simplified Zero Moment Point algorithm for fall detection using inertial MEMS sensors. Based on body posture and stability judgment optimization system, we realized real-time detection and analysis of the falls. The system can be used in moving people airbag system that can prevent a major part of the induced fracture of the elderly from falls. Hardware includes the nodes that...
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