RAM: Radar-based Activity Monitor

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dc.contributor.authorKhan, Md Abdullah Al Hafiz
dc.contributor.authorKukkapalli, Ruthvik
dc.contributor.authorWaradpande, Piyush
dc.contributor.authorKulandaivel, Sekar
dc.contributor.authorBanerjee, Nilanjan
dc.contributor.authorRoy, Nirmalya
dc.contributor.authorRobucc, Ryan
dc.date.accessioned2018-09-04T18:30:36Z
dc.date.available2018-09-04T18:30:36Z
dc.date.issued2016-07-20
dc.description© 2016 IEEE, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communicationsen_US
dc.description.abstractActivity recognition has applications in a variety of human-in-the-loop settings such as smart home health monitoring, green building energy and occupancy management, intelligent transportation, and participatory sensing. While fine-grained activity recognition systems and approaches help enable a multitude of novel applications, discovering them with non-intrusive ambient sensor systems pose challenging design, as well as data processing, mining, and activity recognition issues. In this paper, we develop a low-cost heterogeneous Radar based Activity Monitoring (RAM) system for recognizing fine-grained activities. We exploit the feasibility of using an array of heterogeneous micro-doppler radars to recognize low-level activities. We prototype a short-range and a long-range radar system and evaluate the feasibility of using the system for fine-grained activity recognition. In our evaluation, using real data traces, we show that our system can detect fine-grained user activities with 92.84% accuracy.en_US
dc.description.sponsorshipThis material is based upon work supported by the National Science Foundation under awards CPS1544687, CNS-1305099 and IIS-1406626, CNS-1308723, CNS-1314024, and the Microsoft SEIF Awards. Any opinions, findings, and conclusions or ecommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF or Microsoft.en_US
dc.description.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7524361&isnumber=7524326en_US
dc.format.extent9 PAGESen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2RV0D42T
dc.identifier.citationM. A. A. H. Khan et al., "RAM: Radar-based activity monitor," IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, San Francisco, CA, 2016, pp. 1-9.en_US
dc.identifier.uridoi: 10.1109/INFOCOM.2016.7524361
dc.identifier.urihttp://hdl.handle.net/11603/11212
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.relation.ispartofUMBC Computer Science and Electrical Engineering Department
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.subjectDoppler radaren_US
dc.subjectRandom access memoryen_US
dc.subjectLegged locomotionen_US
dc.subjectFeature extractionen_US
dc.subjectIEEE 802.11 Standarden_US
dc.subjectMobile Pervasive & Sensor Computing Laben_US
dc.titleRAM: Radar-based Activity Monitoren_US
dc.typeTexten_US

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