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HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation (2017)

article⁄HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation (2017)
contributors⁄
abstract⁄PostOccupancy Evaluation POE as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling BIM and multiagent modeling. This research is based on two premises 1 that the proliferation of Bluetooth Low Energy BLE technology allows us to collect a building user’s data costeffectively and 2 that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers architects, developers, engineers and facility managers etc. to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and kmeans clustering was applied to classify users into different gathering groups. Through four research proceduresDesign Intention Analysis, Data Collection, Data Storage and Data Analysisthe visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords⁄design methodsinformation processingdata miningiotaimachine learning2017
Year 2017
Authors Hu, Zhengrong; Park, Ju Hong.
Issue ACADIA 2017: DISCIPLINES & DISRUPTION
Pages 284-291
Library link N/A
Entry filename halo-indoor-positioning-mobile-platform