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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

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.
AlkuperäiskieliEnglanti
OtsikkoProceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING
ToimittajatTauno Otto
JulkaisupaikkaTallin
KustantajaTallinn University of Technology
Sivut144-150
Sivumäärä7
ISBN (painettu)978-9949-23-987-0
TilaJulkaistu - 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational DAAAM Baltic Conference: Industrial Engineering - Tallinn University of Technology, Tallinn, Viro
Kesto: 20 huhtikuuta 201622 huhtikuuta 2016
Konferenssinumero: 11

Julkaisusarja

NimiProceedings of the International Conference of DAAAM Baltic
KustantajaTallinn University of Technology
ISSN (painettu)2346-612X
ISSN (elektroninen)2346-6138

Conference

ConferenceInternational DAAAM Baltic Conference
MaaViro
KaupunkiTallinn
Ajanjakso20/04/201622/04/2016

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