The work in this paper proposed a lightweight and real-time pedestrian tracking model for hardware acceleration and terminal implementation.
May 31, 2021 · In this research, we adopted an adaptive zero velocity update (AZUPT) method based on convolution neural networks to classify the ZUPT ...
Real-Time Pedestrian Tracking Terminal Based on Adaptive Zero Velocity Update. June, 2021. PDF MDPI. Architecture of AZUPT. PDR Intelligent Recognition FPGA ...
It was demonstrated that the proposed AZUPT system could work equally well in different environments, making it portable for PDR to be widely performed in ...
A model based on deep neural networks is proposed to determine moments when the ZUPT should be conducted, enabling the wide use of PDR in real-world ...
The output indicates the zero-velocity state, distinguishing between stationary and in-motion states. The details on the network can be found in reference ...
Jan 27, 2024 · This paper introduces an innovative adaptive sliding window technique, leveraging the Fourier Transform to precisely isolate the pedestrian's gait frequency ...
Missing: Terminal | Show results with:Terminal
We present a study on the adaptive threshold of the zero-velocity detector, which enables the detector to adjust to gait patterns with different speeds, ...
Abstract—We present a study on the adaptive threshold of the zero-velocity detector, which enables the detector to adjust to gait patterns with different ...
Missing: Terminal | Show results with:Terminal
In this study, we presented a novel approach for initial contact (IC) and terminal contact (TC) detection in real-time based on the measurement of the foot ...
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