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Inertial sensor-based gait recognition : a review
ID Šprager, Sebastijan (Author), ID Jurič, Matjaž B. (Author)

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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.

Language:English
Keywords:inertial sensors, inertial data, gait analysis, gait recognition, gait identification, gait authentication, biometry, gait patterns, review
Work type:Article (dk_c)
Typology:1.02 - Review Article
Organization:FRI - Faculty of computer and information science
Year:2015
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:Str. 22089-22127
Numbering:Vol. 15, iss. 9
PID:20.500.12556/RUL-130393 This link opens in a new window
UDC:004.93\'1:681.5
ISSN on article:1424-8220
DOI:10.3390/s150922089 This link opens in a new window
COBISS.SI-ID:1536429763 This link opens in a new window
Publication date in RUL:14.09.2021
Views:184
Downloads:53
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:02.09.2015

Secondary language

Language:Slovenian
Keywords:inercijski senzorji, inercijski podatki, analiza hoje, razpoznavanje hoje, identifikacija na podlagi hoje, avtentikacija na podlagi hoje, biometrija, vzorci hoje, pregled

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