Foot pronation monitoring using wireless biaxial force sensing system

Gwang Min Gu, Kyungseo Park, Eo Jin Kim, Dong Yeon Lee, Jung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

3 Citations (Scopus)

Abstract

Measurements of multi-axial Ground Reaction Force (GRF) can provides quite useful information for monitoring abnormalities of gait during Activities in Daily Living (ADL). Measuring multi-axial GRF using ambulatory GRF sensing systems is difficult due to the height of sensor and the number of sensors used. Therefore, we developed a wireless GRF sensing system having the low height (12 mm) and the capability of sensing simultaneously lateral and vertical GRF using only four optical sensors. The proposed biaxial force sensor showed the low interference rate (less than 0.1 %) and excellent repeatability (0.6 %). We extracted the lateral and vertical GRFs via Bluetooth communication during normal and pronated/supinated walking and presented a three dimensional vector diagram employing center of pressure and GRFs to provide visualization of the ratio between the lateral and vertical GRFs according to the amount of foot pronation. In healthy subjects, the lateral forces were observed less than 10 % of their bodyweights, while large lateral forces were observed in over pronated/supinated walking up to 20 %.

Original languageEnglish
Title of host publicationProceedings of the IEEE/RAS-EMBS International Conference on Rehabilitation Robotics
Subtitle of host publicationEnabling Technology Festival, ICORR 2015
EditorsDavid Braun, Haoyong Yu, Domenico Campolo
PublisherIEEE Computer Society
Pages19-24
Number of pages6
ISBN (Electronic)9781479918072
DOIs
StatePublished - 28 Sep 2015
Event14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015 - Singapore, Singapore
Duration: 11 Aug 201514 Aug 2015

Publication series

NameIEEE International Conference on Rehabilitation Robotics
Volume2015-September
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Other

Other14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015
CountrySingapore
CitySingapore
Period11/08/1514/08/15

Fingerprint

Pronation
Walking
Foot
Monitoring
Sensors
Activities of Daily Living
Gait
Healthy Volunteers
Bluetooth
Communication
Optical sensors
Pressure
Visualization

Keywords

  • Foot pronation
  • Ground reaction force (GRF)
  • Reflective optical sensor
  • Wireless

Cite this

Gu, G. M., Park, K., Kim, E. J., Lee, D. Y., & Kim, J. (2015). Foot pronation monitoring using wireless biaxial force sensing system. In D. Braun, H. Yu, & D. Campolo (Eds.), Proceedings of the IEEE/RAS-EMBS International Conference on Rehabilitation Robotics: Enabling Technology Festival, ICORR 2015 (pp. 19-24). [7281169] (IEEE International Conference on Rehabilitation Robotics; Vol. 2015-September). IEEE Computer Society. https://doi.org/10.1109/ICORR.2015.7281169
Gu, Gwang Min ; Park, Kyungseo ; Kim, Eo Jin ; Lee, Dong Yeon ; Kim, Jung. / Foot pronation monitoring using wireless biaxial force sensing system. Proceedings of the IEEE/RAS-EMBS International Conference on Rehabilitation Robotics: Enabling Technology Festival, ICORR 2015. editor / David Braun ; Haoyong Yu ; Domenico Campolo. IEEE Computer Society, 2015. pp. 19-24 (IEEE International Conference on Rehabilitation Robotics).
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title = "Foot pronation monitoring using wireless biaxial force sensing system",
abstract = "Measurements of multi-axial Ground Reaction Force (GRF) can provides quite useful information for monitoring abnormalities of gait during Activities in Daily Living (ADL). Measuring multi-axial GRF using ambulatory GRF sensing systems is difficult due to the height of sensor and the number of sensors used. Therefore, we developed a wireless GRF sensing system having the low height (12 mm) and the capability of sensing simultaneously lateral and vertical GRF using only four optical sensors. The proposed biaxial force sensor showed the low interference rate (less than 0.1 {\%}) and excellent repeatability (0.6 {\%}). We extracted the lateral and vertical GRFs via Bluetooth communication during normal and pronated/supinated walking and presented a three dimensional vector diagram employing center of pressure and GRFs to provide visualization of the ratio between the lateral and vertical GRFs according to the amount of foot pronation. In healthy subjects, the lateral forces were observed less than 10 {\%} of their bodyweights, while large lateral forces were observed in over pronated/supinated walking up to 20 {\%}.",
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Gu, GM, Park, K, Kim, EJ, Lee, DY & Kim, J 2015, Foot pronation monitoring using wireless biaxial force sensing system. in D Braun, H Yu & D Campolo (eds), Proceedings of the IEEE/RAS-EMBS International Conference on Rehabilitation Robotics: Enabling Technology Festival, ICORR 2015., 7281169, IEEE International Conference on Rehabilitation Robotics, vol. 2015-September, IEEE Computer Society, pp. 19-24, 14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015, Singapore, Singapore, 11/08/15. https://doi.org/10.1109/ICORR.2015.7281169

Foot pronation monitoring using wireless biaxial force sensing system. / Gu, Gwang Min; Park, Kyungseo; Kim, Eo Jin; Lee, Dong Yeon; Kim, Jung.

Proceedings of the IEEE/RAS-EMBS International Conference on Rehabilitation Robotics: Enabling Technology Festival, ICORR 2015. ed. / David Braun; Haoyong Yu; Domenico Campolo. IEEE Computer Society, 2015. p. 19-24 7281169 (IEEE International Conference on Rehabilitation Robotics; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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N2 - Measurements of multi-axial Ground Reaction Force (GRF) can provides quite useful information for monitoring abnormalities of gait during Activities in Daily Living (ADL). Measuring multi-axial GRF using ambulatory GRF sensing systems is difficult due to the height of sensor and the number of sensors used. Therefore, we developed a wireless GRF sensing system having the low height (12 mm) and the capability of sensing simultaneously lateral and vertical GRF using only four optical sensors. The proposed biaxial force sensor showed the low interference rate (less than 0.1 %) and excellent repeatability (0.6 %). We extracted the lateral and vertical GRFs via Bluetooth communication during normal and pronated/supinated walking and presented a three dimensional vector diagram employing center of pressure and GRFs to provide visualization of the ratio between the lateral and vertical GRFs according to the amount of foot pronation. In healthy subjects, the lateral forces were observed less than 10 % of their bodyweights, while large lateral forces were observed in over pronated/supinated walking up to 20 %.

AB - Measurements of multi-axial Ground Reaction Force (GRF) can provides quite useful information for monitoring abnormalities of gait during Activities in Daily Living (ADL). Measuring multi-axial GRF using ambulatory GRF sensing systems is difficult due to the height of sensor and the number of sensors used. Therefore, we developed a wireless GRF sensing system having the low height (12 mm) and the capability of sensing simultaneously lateral and vertical GRF using only four optical sensors. The proposed biaxial force sensor showed the low interference rate (less than 0.1 %) and excellent repeatability (0.6 %). We extracted the lateral and vertical GRFs via Bluetooth communication during normal and pronated/supinated walking and presented a three dimensional vector diagram employing center of pressure and GRFs to provide visualization of the ratio between the lateral and vertical GRFs according to the amount of foot pronation. In healthy subjects, the lateral forces were observed less than 10 % of their bodyweights, while large lateral forces were observed in over pronated/supinated walking up to 20 %.

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Gu GM, Park K, Kim EJ, Lee DY, Kim J. Foot pronation monitoring using wireless biaxial force sensing system. In Braun D, Yu H, Campolo D, editors, Proceedings of the IEEE/RAS-EMBS International Conference on Rehabilitation Robotics: Enabling Technology Festival, ICORR 2015. IEEE Computer Society. 2015. p. 19-24. 7281169. (IEEE International Conference on Rehabilitation Robotics). https://doi.org/10.1109/ICORR.2015.7281169