Motion Target Localization Method for Step Vibration Signals Based on Deep Learning

• Published in: Applied sciences Vol. 14; no. 20; p. 9361
• Main Authors: Chen, Rui, Zhu, Yanping, Chen, Qi, Zhu, Chenyang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2024
• Subjects: Accuracy; Algorithms; Analysis; Classification; Deep learning; end-to-end; Fault diagnosis; footstep vibration; indoor localization; Localization; Methods; motion target trajectory; Neural networks; Privacy; Propagation; Researchers; Sensors; Signal processing; Vibration; visual tracking; China

To address the limitations of traditional footstep vibration signal localization algorithms, such as limited accuracy, single feature extraction, and cumbersome parameter adjustment, a motion target localization method for step vibration signals based on deep learning is proposed. Velocity vectors a...