Real-time walking gait estimation for construction workers using a single wearable inertial measurement unit (IMU)

Siyu Chen, Srikanth Sagar Bangaru, Tarik Yigit, Mitja Trkov, Chao Wang, Jingang Yi

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

4 Scopus citations

Abstract

Real-time gait detection and pose estimation are critical for safety monitoring and prevention of work-related musculoskeletal disorders for construction workers. We present a single wearable inertial measurement unit (IMU)-based gait detection and pose estimation for human walking on flat and sloped surfaces. The gait detection algorithm is built on a recurrent neural network-based method and its outcome is then used in the full-body pose estimation. The detection scheme also predicts the terrain slope information in real-time. The pose estimation is obtained through learned motion manifold in latent space with the Gaussian process dynamic model. Extensive experiments of different walking patterns and speeds on the level and sloped surfaces are conducted to validate and demonstrate the design. The proposed algorithm can detect gait activities with 96% accuracy, the estimated human pose errors are within 8.30 degs, and the detection latency is within 18.6 ms using only a single IMU attached to a human shank.

Original languageEnglish (US)
Title of host publication2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages753-758
Number of pages6
ISBN (Electronic)9781665441391
DOIs
StatePublished - Jul 12 2021
Event2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2021 - Delft, Netherlands
Duration: Jul 12 2021Jul 16 2021

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2021-July

Conference

Conference2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2021
Country/TerritoryNetherlands
CityDelft
Period7/12/217/16/21

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

Fingerprint

Dive into the research topics of 'Real-time walking gait estimation for construction workers using a single wearable inertial measurement unit (IMU)'. Together they form a unique fingerprint.

Cite this