Step Sequence and Direction Detection of Four Square Step Test

Weisheng Kong, Lauren Wanning, Salvatore Sessa, Massimiliano Zecca, Daniele Magistro, Hikaru Takeuchi, Ryuta Kawashima, Atsuo Takanishi

研究成果: Article査読

3 被引用数 (Scopus)

抄録

Poor balance control and falls are big issues for older adults that due to aging decline have a lower postural balance and directional control in balance performance than younger age groups. The four square step test (FSST) was developed to evaluate rapid stepping that is often required when changing direction and avoiding obstacles while walking. However, previous researchers used only the total time as the assessment in the test. The aim of this letter is to objectively quantify the sequence and direction of the steps in FSST, by using two inertial sensors placed on both feet. An algorithm was developed to automatically segment the steps performed during the test, and calculate the stepping direction from the linear velocity of the foot. Experiments were conducted with 100 Japanese healthy older adults, where sensor data and video of 20 subjects were randomly subtracted for algorithm verification. The results showed that the algorithm succeeded for 71.7% trials in recognizing both the step sequence and step direction in FSST, while 90.2% of the detection failure could be excluded with an auto verification method.

本文言語English
論文番号7970186
ページ(範囲)2194-2200
ページ数7
ジャーナルIEEE Robotics and Automation Letters
2
4
DOI
出版ステータスPublished - 2017 10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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