Demo Abstract: A Microphone Sensor based System for Green Building Applications

dc.contributor.advisorUMBC Computer Science and Electrical Engineering Department
dc.contributor.authorKhan, MD Abdullah Al Hafiz
dc.contributor.authorLu, Sheung
dc.contributor.authorRoy, Nirmalya
dc.contributor.authorPathak, Nilavra
dc.date.accessioned2018-09-05T17:09:53Z
dc.date.available2018-09-05T17:09:53Z
dc.date.issued2015-06-29
dc.description© 2015 IEEE; 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)en_US
dc.description.abstractAcoustic sensing has influenced many applications in green building energy management, such as designing multi-modal energy disaggregation algorithms through fine-grained appliance state identifications or efficiently controlling the HVAC system based on the occupancy of the environment. In this demo paper we build a low-cost system prototype using off-the-shelf commercially available hardware (Raspberry Pi and super high gain microphone) to handle both acoustic sensing and its processing that is portable and easily deployable in any indoor environment. Our system is useful in detecting appliance noise for fine-grained energy metering and human voice for managing building energy footprint. We use the decibel strength of the sound to determine if it should be filtered out as a silence or stored in as an audio of interest. A fast fourier transform that quickly converts the sinusoidal input of the audio signals into its associated frequencies is implemented along with the Mel-Frequency Cepstral Coefficients (MFCCs) feature to distinguish between a human voice and an appliance noise. We also implement all the computations on-chip to quantify the energy-delay benefits.en_US
dc.description.sponsorshipThis work is supported by Constellation Energy, NSF Grant CNS-1344990, and REU Supplement.en_US
dc.description.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7134024&isnumber=7133953en_US
dc.format.extent3 PAGESen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2TM72450
dc.identifier.citationM. A. A. H. Khan, S. Lu, N. Roy and N. Pathak, "Demo abstract: A microphone sensor based system for green building applications," 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), St. Louis, MO, 2015, pp. 208-210en_US
dc.identifier.uri10.1109/PERCOMW.2015.7134024
dc.identifier.urihttp://hdl.handle.net/11603/11226
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectHome appliancesen_US
dc.subjectPrototypesen_US
dc.subjectAcousticsen_US
dc.subjectGraphics processing unitsen_US
dc.subjectMicrophonesen_US
dc.subjectHuman voiceen_US
dc.subjectNoiseen_US
dc.subjectMobile Pervasive & Sensor Computing Laben_US
dc.titleDemo Abstract: A Microphone Sensor based System for Green Building Applicationsen_US
dc.typeTexten_US

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