Sensor commissioning detection in single-pixel thermopile sensing systems

E. Hagenaars, A. Pandharipande, E. Frimout, G. Leus

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Downloads (Pure)

Abstract

We consider the problem of detecting sensor commissioning in the form of determining the sensor layout. We address this problem for single-pixel thermopile sensors, located at the ceiling, that provide remote temperature measurements for people counting applications and HVAC controls. We employ a random forest classifier to determine the deployed layout in an area. For this classifier, we propose spatio-temporal distance features using two-sided cumulative sum recursive least squares (CUSUM RLS) filtering of the thermopile temperature sensor signals. Using sensor data generated with simulated occupancy patterns and a thermopile signal model, we show that the proposed method achieves a true positive rate (determining the correct layout) of 90.2% and false positive rate of 1.3%.
Original languageEnglish
Title of host publication28th European Signal Processing Conference (EUSIPCO 2020)
Place of PublicationAmsterdam (Netherlands)
PublisherEurasip
Pages1807-1811
Number of pages5
ISBN (Electronic)978-9-0827-9705-3
Publication statusPublished - 1 Aug 2020
EventEUSIPCO 2020: The 28th European Signal Processing Conference - Amsterdam, Netherlands
Duration: 18 Jan 202122 Jan 2021
Conference number: 28th

Conference

ConferenceEUSIPCO 2020
CountryNetherlands
CityAmsterdam
Period18/01/2122/01/21
OtherDate change due to COVID-19 (former date August 24-28 2020)

Fingerprint Dive into the research topics of 'Sensor commissioning detection in single-pixel thermopile sensing systems'. Together they form a unique fingerprint.

Cite this