A model-based human walking speed estimation using body acceleration data

Jwu-Sheng Hu*, Kuan Chun Sun, Chi Yuan Cheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This study aims at estimating the human walking speed using wearable accelerometers by proposing a novel virtual inverted pendulum model. This model not only keeps the important characteristic in biped rolling-foot model, but also makes the speed estimation feasible using human body acceleration. Rather than the statistical methods, the proposed kinematic walking model enables calibration of the parameters during walking using only one tri-axial accelerometer on waist that reflects the user's inertia information during walking. In addition, this model also includes the effect of rotation of waist within a walking cycle that improves the estimation accuracy. Experimental results on a group of humans show a 1.22% error mean and 2.78% deviation, which is far better than other known studies.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
Pages1985-1990
Number of pages6
DOIs
StatePublished - 1 Dec 2012
Event2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Guangzhou, China
Duration: 11 Dec 201214 Dec 2012

Publication series

Name2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest

Conference

Conference2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012
CountryChina
CityGuangzhou
Period11/12/1214/12/12

Keywords

  • gait
  • inertia sensor
  • kinematic walking model
  • walking speed
  • wearable sensor

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  • Cite this

    Hu, J-S., Sun, K. C., & Cheng, C. Y. (2012). A model-based human walking speed estimation using body acceleration data. In 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest (pp. 1985-1990). [6491259] (2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest). https://doi.org/10.1109/ROBIO.2012.6491259