Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics

Tommi Lintilä, Valtteri Hyvärinen, Reijo Kariniemi, Anjan KC, Lassi Nurmi, Taina Liukkonen, Seija Viinikka, Panu Kiviluoma, Aku Korhonen, Petri Kuosmanen

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


Sitting causes major health problems. Both bad sitting posture and prolonged sitting time increases the likelihood of back pain. The object of our research was to study if it is possible to measure sitting ergonomics using a webcam video. The webcam placed in front of a subject was tracking the movements of subject’s face, which were used to derive the pose of subject’s head. Different algorithms to detect bad posture based on head pose and movement were developed according to the physiological recommendations. The accuracy of these algorithms were investigated in a real environment testing. Although the results are promising, more research is needed to develop better algorithms for a more accurate and versatile detection of sitting ergonomics.
Original languageEnglish
Title of host publicationProceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING
EditorsTauno Otto
Place of PublicationTallin
PublisherTallinn University of Technology
Number of pages7
ISBN (Print)978-9949-23-987-0
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventInternational DAAAM Baltic Conference: Industrial Engineering - Tallinn University of Technology, Tallinn, Estonia
Duration: 20 Apr 201622 Apr 2016
Conference number: 11

Publication series

NameProceedings of the International Conference of DAAAM Baltic
PublisherTallinn University of Technology
ISSN (Print)2346-612X
ISSN (Electronic)2346-6138


ConferenceInternational DAAAM Baltic Conference


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