Neck Flexion Angle Estimation during Walking

Joint Authors

Chee, Youngjoon
Dang, Duc Cong
Dang, Quoc Khanh
Suh, Young Soo

Source

Journal of Sensors

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-12-28

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

Neck pain is recently known as the fourth leading cause of disability and the number of patients is apparently increasing.

By analyzing the effect of gravitational force on inertial sensor attached to the neck, this study aims to investigate the head flexion posture during walking.

The estimated angle is compared with the craniovertebral angle which is measured with an optical tracker.

A total of twenty subjects with no history of neck pain or discomfort were examined by walking on the treadmill inside the working range of an optical tracker.

In our laboratory settings, the neck flexion angle (NFA) may have a linear relationship with the craniovertebral angle (CVA) in both static case and constant speed walking case.

Therefore, inertial sensor, which is lightweight, low cost, and especially free in movement, can be used instead of a camera system.

Our proposed estimation method shows its flexibility and gives a result with the mean of absolute error of estimated neck angle varying from 0.48 to 0.58 degrees, which is small enough to use in applications.

American Psychological Association (APA)

Dang, Duc Cong& Dang, Quoc Khanh& Chee, Youngjoon& Suh, Young Soo. 2017. Neck Flexion Angle Estimation during Walking. Journal of Sensors،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1186837

Modern Language Association (MLA)

Dang, Duc Cong…[et al.]. Neck Flexion Angle Estimation during Walking. Journal of Sensors No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1186837

American Medical Association (AMA)

Dang, Duc Cong& Dang, Quoc Khanh& Chee, Youngjoon& Suh, Young Soo. Neck Flexion Angle Estimation during Walking. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1186837

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186837