A Framework for Occupancy Tracking in a Building via Structural Dynamics Sensing of Footstep Vibrations

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dc.contributor.authorPoston, Jeffrey D.en
dc.contributor.authorBuehrer, R. Michaelen
dc.contributor.authorTarazaga, Pablo Albertoen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2017-11-15T15:35:16Zen
dc.date.available2017-11-15T15:35:16Zen
dc.date.issued2017-11-06en
dc.description.abstractCounting the number of occupants in building areas over time—occupancy tracking— provides valuable information for responding to emergencies, optimizing thermal conditions or managing personnel. This capability is distinct from tracking individual building occupants as they move within a building, has lower complexity than conventional tracking algorithms require, and avoids privacy concerns that tracking individuals may pose. The approach proposed here is a novel combination of data analytics applied to measurements from a building’s structural dynamics sensors (e.g., accelerometers or geophones). Specifically, measurements of footstep-generated structural waves provide evidence of occupancy in a building area. These footstep vibrations can be distinguished from other vibrations, and, once identified, the footsteps can be located. These locations, in turn, form the starting point of estimating occupancy in an area. In order to provide a meaningful occupancy count, however, it is first necessary to associate discrete footsteps with individuals. The proposed framework incorporates a tractable algorithm for this association task. The proposed algorithms operate online, updating occupancy count over time as new footsteps are detected. Experiments with measurements from a public building illustrate the operation of the proposed framework. This approach offers an advantage over others based on conventional technologies by avoiding the cost of a separate sensor system devoted to occupancy tracking.en
dc.description.sponsorshipThis research was supported in part by the Virginia Tech Institute for Critical Technology and Applied Science (ICTAS).en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3389/fbuil.2017.00065en
dc.identifier.urihttp://hdl.handle.net/10919/80394en
dc.identifier.volume3en
dc.language.isoenen
dc.publisherFrontiersen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectsmart buildingen
dc.subjectstructural dynamicsen
dc.subjectoccupancyen
dc.subjecttrackingen
dc.subjectvibrationen
dc.titleA Framework for Occupancy Tracking in a Building via Structural Dynamics Sensing of Footstep Vibrationsen
dc.title.serialFrontiers in Built Environmenten
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Destination Area: Intelligent Infrastructure for Human-Centered Communities (IIHCC)
Scholarly Works, Electrical and Computer Engineering