Next Article in Journal
Universal Capacitance Model for Real-Time Biomass in Cell Culture
Previous Article in Journal
Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular Networks
Article Menu

Export Article

Open AccessReview
Sensors 2015, 15(9), 22089-22127; doi:10.3390/s150922089

Inertial Sensor-Based Gait Recognition: A Review

Faculty of Computer and Information Science, University of Ljubljana, Vecna pot 113, SI-1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 21 July 2015 / Revised: 16 August 2015 / Accepted: 22 August 2015 / Published: 2 September 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [806 KB, uploaded 2 September 2015]   |  

Abstract

With the recent development of microelectromechanical systems (MEMS), inertial sensors have become widely used in the research of wearable gait analysis due to several factors, such as being easy-to-use and low-cost. Considering the fact that each individual has a unique way of walking, inertial sensors can be applied to the problem of gait recognition where assessed gait can be interpreted as a biometric trait. Thus, inertial sensor-based gait recognition has a great potential to play an important role in many security-related applications. Since inertial sensors are included in smart devices that are nowadays present at every step, inertial sensor-based gait recognition has become very attractive and emerging field of research that has provided many interesting discoveries recently. This paper provides a thorough and systematic review of current state-of-the-art in this field of research. Review procedure has revealed that the latest advanced inertial sensor-based gait recognition approaches are able to sufficiently recognise the users when relying on inertial data obtained during gait by single commercially available smart device in controlled circumstances, including fixed placement and small variations in gait. Furthermore, these approaches have also revealed considerable breakthrough by realistic use in uncontrolled circumstances, showing great potential for their further development and wide applicability. View Full-Text
Keywords: inertial sensors; inertial data; gait analysis; gait recognition; gait identification; gait authentication; biometry; gait patterns; review inertial sensors; inertial data; gait analysis; gait recognition; gait identification; gait authentication; biometry; gait patterns; review
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Sprager, S.; Juric, M.B. Inertial Sensor-Based Gait Recognition: A Review. Sensors 2015, 15, 22089-22127.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top