Human activity recognition using inertial measurement units and smart shoes

Prudhvi Tej Chinimilli, Sangram Redkar, Wenlong Zhang

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

14 Scopus citations

Abstract

This paper presents an intelligent fuzzy inference (IFI) algorithm using inertial measurement units (IMUs) and smart shoes to recognize human activities. IFI algorithm recognizes the activities based on ground contact forces (GCFs) and the knee joint angles. The smart shoes are designed to measure GCFs exerted by the wearer. A total of four IMUs are mounted on bilateral thighs and shanks to provide acceleration and angular rate data. To calculate knee flexion extension, a calibration procedure is adopted which eliminates the need for an external camera system. Then, an extended Kalman filter (EKF) is used to estimate the relative orientations of thigh and shank segments, from which knee angle is calculated. Random forest search (RFS) technique is used as a baseline to compare with the performance of the IFI algorithm. To evaluate the performance of this algorithm, several outdoor experiments are conducted on two healthy subjects for six activities including sitting, standing, walking, going upstairs, going downstairs and jogging. The results show that the algorithm is capable of classifying six activities with higher precision and less update time compared to the baseline approach for both subject dependent and independent tests. Also, the algorithm detects transitions between all the activities smoothly such as sit-to-stand or stand-to-walk with higher precision.

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1462-1467
Number of pages6
ISBN (Electronic)9781509059928
DOIs
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Other

Other2017 American Control Conference, ACC 2017
CountryUnited States
CitySeattle
Period5/24/175/26/17

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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