Vaš brskalnik ne omogoča JavaScript!
JavaScript je nujen za pravilno delovanje teh spletnih strani. Omogočite JavaScript ali pa uporabite sodobnejši brskalnik.
Nacionalni portal odprte znanosti
Odprta znanost
DiKUL
slv
|
eng
Iskanje
Brskanje
Novo v RUL
Kaj je RUL
V številkah
Pomoč
Prijava
Inertial sensor-based gait recognition : a review
ID
Šprager, Sebastijan
(
Avtor
),
ID
Jurič, Matjaž B.
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(943,37 KB)
MD5: 04305B4442A118874E54356E079BE756
URL - Izvorni URL, za dostop obiščite
http://www.mdpi.com/1424-8220/15/9/22089
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
inertial sensors
,
inertial data
,
gait analysis
,
gait recognition
,
gait identification
,
gait authentication
,
biometry
,
gait patterns
,
review
Vrsta gradiva:
Članek v reviji
Tipologija:
1.02 - Pregledni znanstveni članek
Organizacija:
FRI - Fakulteta za računalništvo in informatiko
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2015
Št. strani:
Str. 22089-22127
Številčenje:
Vol. 15, iss. 9
PID:
20.500.12556/RUL-130393
UDK:
004.93\'1:681.5
ISSN pri članku:
1424-8220
DOI:
10.3390/s150922089
COBISS.SI-ID:
1536429763
Datum objave v RUL:
14.09.2021
Število ogledov:
837
Število prenosov:
178
Metapodatki:
Citiraj gradivo
Navadno besedilo
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Kopiraj citat
Objavi na:
Gradivo je del revije
Naslov:
Sensors
Skrajšan naslov:
Sensors
Založnik:
MDPI
ISSN:
1424-8220
COBISS.SI-ID:
10176278
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
02.09.2015
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
inercijski senzorji
,
inercijski podatki
,
analiza hoje
,
razpoznavanje hoje
,
identifikacija na podlagi hoje
,
avtentikacija na podlagi hoje
,
biometrija
,
vzorci hoje
,
pregled
Podobna dela
Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:
Nazaj