Camera System for Efficient non-contact Measurement in Distance Medicine

Patrik Kutilek; Jan Hejda; Lenka Lhotska; Jindrich Adolf; Jaromir Dolezal; Michaela Hourova; Pavel Kral; Yoram Segal; Raz Birman; Ofer Hadar

doi:https://doi.org/10.1109/ME49197.2020.9286647

Camera System for Efficient non-contact Measurement in Distance Medicine

Patrik Kutilek, Jan Hejda, Lenka Lhotska, Jindrich Adolf, Jaromir Dolezal, Michaela Hourova, Pavel Kral, Yoram Segal, Raz Birman, Ofer Hadar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware's performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance.

Original language	American English
Title of host publication	Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020
Editors	Dusan Maga, Jiri Hajek
ISBN (Electronic)	9781728156019
DOIs	https://doi.org/10.1109/ME49197.2020.9286647
State	Published - 2 Dec 2020
Externally published	Yes
Event	19th International Conference on Mechatronics - Mechatronika, ME 2020 - Prague, Czech Republic Duration: 2 Dec 2020 → 4 Dec 2020

Publication series

Name	Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020

Conference

Conference	19th International Conference on Mechatronics - Mechatronika, ME 2020
Country/Territory	Czech Republic
City	Prague
Period	2/12/20 → 4/12/20

Keywords

OpenPose
body movements
camera calibration
distance medicine
joint angles
posture
tracking

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://doi.org/10.1109/ME49197.2020.9286647

Cite this

Kutilek, P., Hejda, J., Lhotska, L., Adolf, J., Dolezal, J., Hourova, M., Kral, P., Segal, Y., Birman, R., & Hadar, O. (2020). Camera System for Efficient non-contact Measurement in Distance Medicine. In D. Maga, & J. Hajek (Eds.), Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020 Article 9286647 (Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020). https://doi.org/10.1109/ME49197.2020.9286647

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title = "Camera System for Efficient non-contact Measurement in Distance Medicine",

abstract = "The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware's performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance.",

keywords = "OpenPose, body movements, camera calibration, distance medicine, joint angles, posture, tracking",

author = "Patrik Kutilek and Jan Hejda and Lenka Lhotska and Jindrich Adolf and Jaromir Dolezal and Michaela Hourova and Pavel Kral and Yoram Segal and Raz Birman and Ofer Hadar",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 19th International Conference on Mechatronics - Mechatronika, ME 2020 ; Conference date: 02-12-2020 Through 04-12-2020",

year = "2020",

month = dec,

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doi = "https://doi.org/10.1109/ME49197.2020.9286647",

language = "American English",

series = "Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020",

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Kutilek, P, Hejda, J, Lhotska, L, Adolf, J, Dolezal, J, Hourova, M, Kral, P, Segal, Y, Birman, R & Hadar, O 2020, Camera System for Efficient non-contact Measurement in Distance Medicine. in D Maga & J Hajek (eds), Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020., 9286647, Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020, 19th International Conference on Mechatronics - Mechatronika, ME 2020, Prague, Czech Republic, 2/12/20. https://doi.org/10.1109/ME49197.2020.9286647

Camera System for Efficient non-contact Measurement in Distance Medicine. / Kutilek, Patrik; Hejda, Jan; Lhotska, Lenka et al.
Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020. ed. / Dusan Maga; Jiri Hajek. 2020. 9286647 (Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Kutilek, Patrik

AU - Hejda, Jan

AU - Lhotska, Lenka

AU - Adolf, Jindrich

AU - Dolezal, Jaromir

AU - Hourova, Michaela

AU - Kral, Pavel

AU - Segal, Yoram

AU - Birman, Raz

AU - Hadar, Ofer

PY - 2020/12/2

Y1 - 2020/12/2

N2 - The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware's performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance.

AB - The posture of body segments can be negatively influenced by many diseases of the nervous, visual and musculoskeletal systems. This article outlines a newly designed system and related procedures to record and evaluate anatomical body angles. The system is equipped with two mutually calibrated cameras allowing the evaluation of body movement in two anatomical planes. The hardware part of the camera system and calibration method was designed for practical use in clinical practice. Moreover, the proposed camera system allows for the recording and evaluation of motion data in a home environment or at a safe distance. It enables non-invasive and non-contact measuring of body segments and, therefore, can be used in distance rehabilitation and distance diagnosing. The study also demonstrates the hardware's performance accelerator based on a human body tracking algorithm. The device utilizes the third party algorithms, such as OpenPose, for the extraction of major body points from selected video frames. Any missing data points are then interpolated through the proposed tracking algorithm. This procedure results in an acceleration of the overall hardware performance.

KW - OpenPose

KW - body movements

KW - camera calibration

KW - distance medicine

KW - joint angles

KW - posture

KW - tracking

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DO - https://doi.org/10.1109/ME49197.2020.9286647

M3 - Conference contribution

T3 - Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020

BT - Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020

A2 - Maga, Dusan

A2 - Hajek, Jiri

T2 - 19th International Conference on Mechatronics - Mechatronika, ME 2020

Y2 - 2 December 2020 through 4 December 2020

ER -

Kutilek P, Hejda J, Lhotska L, Adolf J, Dolezal J, Hourova M et al. Camera System for Efficient non-contact Measurement in Distance Medicine. In Maga D, Hajek J, editors, Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020. 2020. 9286647. (Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020). doi: https://doi.org/10.1109/ME49197.2020.9286647

Camera System for Efficient non-contact Measurement in Distance Medicine

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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