Flexible piezoelectric sensor-based gait recognition

Youngsu Cha, Hojoon Kim, Doik Kim

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Most motion recognition research has required tight-fitting suits for precise sensing. However, tight-suit systems have difficulty adapting to real applications, because people normally wear loose clothes. In this paper, we propose a gait recognition system with flexible piezoelectric sensors in loose clothing. The gait recognition system does not directly sense lower-body angles. It does, however, detect the transition between standing and walking. Specifically, we use the signals from the flexible sensors attached to the knee and hip parts on loose pants. We detect the periodic motion component using the discrete time Fourier series from the signal during walking. We adapt the gait detection method to a real-time patient motion and posture monitoring system. In the monitoring system, the gait recognition operates well. Finally, we test the gait recognition system with 10 subjects, for which the proposed system successfully detects walking with a success rate over 93%.

Original languageEnglish
Article number468
JournalSensors (Switzerland)
Volume18
Issue number2
DOIs
Publication statusPublished - 2018 Feb 5
Externally publishedYes

Keywords

  • Flexible sensor
  • Gait recognition
  • Piezoelectric material
  • Wearable

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Flexible piezoelectric sensor-based gait recognition'. Together they form a unique fingerprint.

Cite this