by Vignesh Kumar Kaipa, Mohammed Bilal Makandar, Tanush Nilesh Gundawar, Ajeet Kumar Srivatsava
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Format: AVI, CSV, TXT, ZIPPublisher: IEEE DataPortPublication Date of the Electronic Edition: 12/21/2025
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ISBN: 10.21227/vnwm-1m35
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Description
This dataset supports an AI-enabled piezoelectric sensor system designed for pedestrian-driven sensing and energy harvesting. It includes processed pedestrian trajectory data derived from public benchmarks, model-predicted footfall intensity time series, and simulated piezoelectric energy output estimates. The dataset enables reproducible evaluation of pedestrian trajectory forecasting models and analysis of their correlation with piezoelectric sensor response in smart infrastructure applications.
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