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One challenging problem for human–machine systems is to accurately estimate the position, velocity, and attitude of human foot motion, using an inertial measurement unit (IMU) sensor. This is particularly so in large environments affected by local magnetic disturbances. In this paper, we propose an algorithm that not only handles this problem, but also works efficiently in real time. The novelty of...
Human foot motion localization using inertial measurement unit (IMU) is a challenging problem due to IMU's drift and noise. This paper presents a localization algorithm, which can accurately estimate the position, velocity and attitude of human foot motion based on IMU measurements. The proposed algorithm works efficiently in a real-time and dynamic speed manner. A dynamic Gait Phase Detection (GPD)...
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