Development of Respiration Measuring Robot

Junji Satake; Tsukasa Ushijima; Yusuke Kudo

doi:10.20965/jrm.2019.p0715

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JRM Vol.31 No.5 pp. 715-718

doi: 10.20965/jrm.2019.p0715

(2019)

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Development of Respiration Measuring Robot

Junji Satake, Tsukasa Ushijima, and Yusuke Kudo

Fukuoka Institute of Technology
3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka 811-0295, Japan

Received:

April 1, 2019

Accepted:

July 29, 2019

Published:

October 20, 2019

Keywords:

respiration measurement, mobile robot, monitoring system, depth image, Kinect sensor

Abstract

In this study, we developed and tested a monitoring robot to measure the respiration of a person. Upon detecting any abnormality, such as a subject falling down of a person, the monitoring robot moves closer to the person. Subsequently, it automatically extracts the pectoral region from the images and determines the respiration using the measured pectoral movements. We demonstrated that our monitoring robot can automatically perform this series of operations.

Respiration measuring robot

Cite this article as:

J. Satake, T. Ushijima, and Y. Kudo, “Development of Respiration Measuring Robot,” J. Robot. Mechatron., Vol.31 No.5, pp. 715-718, 2019.

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References

[1] H. Aoki et al., “Non-contact respiration measurement using structured light 3-D Sensor,” Proc. of SICE Annual Conf., pp. 614-618, 2012.
[2] Q. Li et al., “How do you breathe – a non-contact monitoring method using depth data,” Proc. of 2017 IEEE 19th Int. Conf. on e-Health Networking, Applications and Services (Healthcom), pp. 1-6, 2017.
[3] N. Bernacchia et al., “Non contact measurement of heart and respiration rates based on Kinect,” Proc. of 2014 IEEE Int. Symp. on Medical Measurements and Applications (MeMeA), pp. 1-5, 2014.
[4] Y. Matsuura et al., “Screening sleep disordered breathing with noncontact measurement in a clinical site,” J. Robot. Mechatron., Vol.29, No.2, pp. 327-337, 2017.
[5] F. Deng et al., “Design and implementation of a noncontact sleep monitoring system using infrared cameras and motion sensor,” IEEE Trans. on Instrumentation and Measurement, Vol.67, No.7, pp. 1555-1563, 2018.
[6] H. Aoki et al., “Basic study on non-contact respiration measurement during exercise tolerance test by using kinect sensor,” Proc. of IEEE/SICE Int. Symp. on System Integration, pp. 217-222, 2015.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] H. Aoki et al., “Non-contact respiration measurement using structured light 3-D Sensor,” Proc. of SICE Annual Conf., pp. 614-618, 2012.

[2] [2] Q. Li et al., “How do you breathe – a non-contact monitoring method using depth data,” Proc. of 2017 IEEE 19th Int. Conf. on e-Health Networking, Applications and Services (Healthcom), pp. 1-6, 2017.

[3] [3] N. Bernacchia et al., “Non contact measurement of heart and respiration rates based on Kinect,” Proc. of 2014 IEEE Int. Symp. on Medical Measurements and Applications (MeMeA), pp. 1-5, 2014.

[4] [4] Y. Matsuura et al., “Screening sleep disordered breathing with noncontact measurement in a clinical site,” J. Robot. Mechatron., Vol.29, No.2, pp. 327-337, 2017.

[5] [5] F. Deng et al., “Design and implementation of a noncontact sleep monitoring system using infrared cameras and motion sensor,” IEEE Trans. on Instrumentation and Measurement, Vol.67, No.7, pp. 1555-1563, 2018.

[6] [6] H. Aoki et al., “Basic study on non-contact respiration measurement during exercise tolerance test by using kinect sensor,” Proc. of IEEE/SICE Int. Symp. on System Integration, pp. 217-222, 2015.