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

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

Department of Energy and Mechanical Engineering

Helsinki University Central Hospital

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING
Editors	Tauno Otto
Place of Publication	Tallin
Publisher	Tallinn University of Technology
Pages	144-150
Number of pages	7
ISBN (Print)	978-9949-23-987-0
Publication status	Published - 2016
MoE publication type	A4 Conference publication
Event	International DAAAM Baltic Conference: Industrial Engineering - Tallinn University of Technology, Tallinn, Estonia Duration: 20 Apr 2016 → 22 Apr 2016 Conference number: 11

Publication series

Name	Proceedings of the International Conference of DAAAM Baltic
Publisher	Tallinn University of Technology
ISSN (Print)	2346-612X
ISSN (Electronic)	2346-6138

Conference

Conference	International DAAAM Baltic Conference
Country/Territory	Estonia
City	Tallinn
Period	20/04/2016 → 22/04/2016

Access to Document

http://innomet.ttu.ee/daaam/proceedings/Mechatronics/Lintil%C3%A4.pdf

Cite this

Lintilä, T., Hyvärinen, V., Kariniemi, R., KC, A., Nurmi, L., Liukkonen, T., Viinikka, S., Kiviluoma, P., Korhonen, A., & Kuosmanen, P. (2016). Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics. In T. Otto (Ed.), Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING (pp. 144-150). (Proceedings of the International Conference of DAAAM Baltic). Tallinn University of Technology. http://innomet.ttu.ee/daaam/proceedings/Mechatronics/Lintil%C3%A4.pdf

Lintilä, Tommi ; Hyvärinen, Valtteri ; Kariniemi, Reijo et al. / Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics. Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING. editor / Tauno Otto. Tallin : Tallinn University of Technology, 2016. pp. 144-150 (Proceedings of the International Conference of DAAAM Baltic).

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title = "Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics",

abstract = "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{\textquoteright}s face, which were used to derive the pose of subject{\textquoteright}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.",

author = "Tommi Lintil{\"a} and Valtteri Hyv{\"a}rinen and Reijo Kariniemi and Anjan KC and Lassi Nurmi and Taina Liukkonen and Seija Viinikka and Panu Kiviluoma and Aku Korhonen and Petri Kuosmanen",

year = "2016",

language = "English",

isbn = "978-9949-23-987-0",

series = "Proceedings of the International Conference of DAAAM Baltic",

publisher = "Tallinn University of Technology",

pages = "144--150",

editor = "Tauno Otto",

booktitle = "Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING",

address = "Estonia",

note = "International DAAAM Baltic Conference : Industrial Engineering ; Conference date: 20-04-2016 Through 22-04-2016",

}

Lintilä, T, Hyvärinen, V, Kariniemi, R, KC, A, Nurmi, L, Liukkonen, T, Viinikka, S, Kiviluoma, P, Korhonen, A & Kuosmanen, P 2016, Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics. in T Otto (ed.), Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING. Proceedings of the International Conference of DAAAM Baltic, Tallinn University of Technology, Tallin, pp. 144-150, International DAAAM Baltic Conference, Tallinn, Estonia, 20/04/2016. <http://innomet.ttu.ee/daaam/proceedings/Mechatronics/Lintil%C3%A4.pdf>

Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics. / Lintilä, Tommi; Hyvärinen, Valtteri; Kariniemi, Reijo et al.
Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING. ed. / Tauno Otto. Tallin: Tallinn University of Technology, 2016. p. 144-150 (Proceedings of the International Conference of DAAAM Baltic).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics

AU - Lintilä, Tommi

AU - Hyvärinen, Valtteri

AU - Kariniemi, Reijo

AU - KC, Anjan

AU - Nurmi, Lassi

AU - Liukkonen, Taina

AU - Viinikka, Seija

AU - Kiviluoma, Panu

AU - Korhonen, Aku

AU - Kuosmanen, Petri

N1 - Conference code: 11

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

UR - http://innomet.ttu.ee/daaam

M3 - Conference article in proceedings

SN - 978-9949-23-987-0

T3 - Proceedings of the International Conference of DAAAM Baltic

SP - 144

EP - 150

BT - Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING

A2 - Otto, Tauno

PB - Tallinn University of Technology

CY - Tallin

T2 - International DAAAM Baltic Conference

Y2 - 20 April 2016 through 22 April 2016

ER -

Lintilä T, Hyvärinen V, Kariniemi R, KC A, Nurmi L, Liukkonen T et al. Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics. In Otto T, editor, Proceedings of 11th International Conference of DAAAM Baltic INDUSTRIAL ENGINEERING. Tallin: Tallinn University of Technology. 2016. p. 144-150. (Proceedings of the International Conference of DAAAM Baltic).

Development of Computer Vision Based Face Tracking Measurement for Sitting Ergonomics

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