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Estimation Accuracy of Average Walking Speed by Acceleration Signals: Comparison Among Three Different Sensor Locations

  • Yoshiyuki Kobayashi
  • Motoki Sudo
  • Hiroyasu Miwa
  • Hiroaki Hobara
  • Satoru Hashizume
  • Kanako Nakajima
  • Naoto Takayanagi
  • Tomoya Ueda
  • Yoshifumi Niki
  • Masaaki Mochimaru
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 818)

Abstract

The ubiquity of wearable sensors now enables us to measure a user’s walking speed outside of a laboratory or clinical setting, during activities of daily living. However, this technology is recent, and researchers have yet to determine the locations on the body that produce the most accurate data from these sensors. This study aims to compare the accuracy of average walking speed estimation measured using acceleration data from three body landmarks: wrist, pelvis, and ankle. Estimation models are derived from the gait data of 247 healthy adults using stepwise linear multiple regression analyses. The absolute value of the within-participant mean of errors between actual average walking speed and estimated average walking speed is computed and compered across landmarks. The ankle is the most accurate locations from which to estimate average walking speeds from acceleration signals, whereas the wrist was the least accurate locations. Walking speed is an important measure of health and function, especially in older people, and accurately estimating walking speeds in daily life may be helpful in predicting health outcomes in the elderly.

Keywords

Walking speed Acceleration Estimation Accuracy Landmarks 

Notes

Acknowledgements

The authors would like to thank all participants as well as Ms. Rika Ichimura, Ms. Yuko Kawai and Ms. Miho Ono for their support of data acquisition and analyses.

Conflict of Interest.

None of the authors have any conflicts of interest associated with this study.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Digital Human Research Group, Human Informatics Research InstituteNational Institute of Advanced Industrial Science and TechnologyTokyoJapan
  2. 2.Tokyo Research Laboratories, Kao CorporationTokyoJapan

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