Monitoring spatiotemporal dynamics of human movement based on MAC address data
作者： Naeim Abedi
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摘要: This thesis was a step forward in extracting valuable features from human's movement behaviour terms of space utilisation based on Media-Access-Control data. research offered low-cost and less computational complexity approach compared to existing tracking methods. successfully applied QUT's Gardens Point campus can be scaled bigger environments societies. Extractable information by this add significant value studying behaviour, enhancing future urban interior design, improving crowd safety evacuation plans.
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