Hidden Markov model for improved ultrasound-based presence detection

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

7 Citaten (Scopus)

Samenvatting

Adaptive lighting systems typically use a presence detector to save energy by switching off lights in unoccupied rooms. However, it is highly annoying when lights are erroneously turned off while a user is present (false negative, FN). This paper focuses on the estimation of presence, using a Hidden Markov Model (HMM) in a ultrasound-based presence detection system. Our results show that estimating the Log Likelihood Ratio (LLR) of presence / no-presence in real-time can achieve improvements in the accuracy of presence detection. We compare the performance of the LLR algorithm with previous presence detection algorithms. Moreover we use the concepts of receiver operating curves and a genius (perfect) detector to benchmark the trade-off between energy consumption and user comfort.
Originele taal-2Engels
Titel2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 26-28 October 2015, Liverpool, United Kingdom
Plaats van productieBrussels
UitgeverijIEEE Computer Society
Pagina's68-74
ISBN van geprinte versie978-1-5090-0153-8
DOI's
StatusGepubliceerd - 28 okt 2015
Evenement15th IEEE International Conference on Computer and Information Technology (CIT-2015) - Jurys Inn Liverpool Hotel, Liverpool, Verenigd Koninkrijk
Duur: 26 okt 201528 okt 2015
Congresnummer: 15
http://cse.stfx.ca/~cit2015/

Congres

Congres15th IEEE International Conference on Computer and Information Technology (CIT-2015)
Verkorte titelCIT-2015
LandVerenigd Koninkrijk
StadLiverpool
Periode26/10/1528/10/15
Internet adres

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  • Citeer dit

    Jaramillo Garcia, P. A., & Linnartz, J. P. M. G. (2015). Hidden Markov model for improved ultrasound-based presence detection. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 26-28 October 2015, Liverpool, United Kingdom (blz. 68-74). IEEE Computer Society. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.14