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Over the past decade, deep learning developed rapidly and had significant impact on a variety of application domains. It has been applied to the field of human activity recognition to substitute for well-established analysis techniques that rely on handcrafted feature extraction and classification methods in recent years. However, less attentions have been paid to the influence of training data on...
A smart-phone based hand-held indoor positioning system is presented in this paper. The system collects data using the accelerometers, gyroscopes, barometers and gravity sensors embedded in the smart-phone. The accelerometer and gravity data are used for zero-velocity detection and calculating the vertical displacement of each walking step, and then the inverted pendulum model is applied to calculate...
High accuracy in indoor navigation with foot-mounted sensors attracts a lot of researchers in the last decades. Most indoor positioning schemes based on strap-down inertial navigation can only be used for normal walking. This paper present a 3D foot-mounted inertial navigation system, which can meet the challenge of the multi-gaits. During walking, the foot will have a contact with the ground in every...
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