İnsan hareketlerinin PIR-sensör tabanli bir sistemle siniflandirilmasi

Translated title of the contribution: PIR-sensor based human motion event classification

O. Urfaliog̃lu*, Emin B. Soyer, B. Ug̃ur Töreyin, A. Enis Çetin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

In this paper, we use a modified Passive Infrared Radiation or Pyroelectric InfraRed (PIR) sensor to classify 5 different human motion events with one additional 'no action' event. Event detection enables new applications in environments hosting dynamic processes. Typical event detection applications are based on audio or video sensor data. Given a data stream, often the task is to find or classify specific dynamic processes. Most of the applications for the monitoring of human activities in an environment are based on video sensor data. As an alternative or complementary approach, low cost PIR sensors can be used for such applications. The classification is done by a bayesian approach using Conditional Gaussian Mixture Models (CGMM) trained for each class. We show in experiments that using PIR-sensors, different human motion events in a room can be successfully detected.

Translated title of the contributionPIR-sensor based human motion event classification
Original languageTurkish
Title of host publication2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU - Aydin, Turkey
Duration: 20 Apr 200822 Apr 2008

Publication series

Name2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

Conference

Conference2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Country/TerritoryTurkey
CityAydin
Period20/04/0822/04/08

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