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Effectiveness of a time to fixate for fitness to drive evaluation in neurological patients
ID
Miljković, Nadica
(
Avtor
),
ID
Sodnik, Jaka
(
Avtor
)
PDF - Predstavitvena datoteka,
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(1,34 MB)
MD5: E7AFBBA664815C9A5ADD16FFD3779803
URL - Izvorni URL, za dostop obiščite
https://link.springer.com/article/10.3758/s13428-023-02177-3
Galerija slik
Izvleček
We present a method to automatically calculate time to fixate (TTF) from the eye-tracker data in subjects with neurological impairment using a driving simulator. TTF presents the time interval for a person to notice the stimulus from its first occurrence. Precisely, we measured the time since the children started to cross the street until the drivers directed their look to the children. From 108 neurological patients recruited for the study, the analysis of TTF was performed in 56 patients to assess fit-, unfit-, and conditionally-fit-to-drive patients. The results showed that the proposed method based on the YOLO (you only look once) object detector is efficient for computing TTFs from the eye-tracker data. We obtained discriminative results for fit-to-drive patients by application of Tukey’s honest significant difference post hoc test (p < 0.01), while no difference was observed between conditionally-fit and unfit-to-drive groups (p = 0.542). Moreover, we show that time-to-collision (TTC), initial gaze distance (IGD) from pedestrians, and speed at the hazard onset did not influence the result, while the only significant interaction is among fitness, IGD, and TTC on TTF. Obtained TTFs are also compared with the perception response times (PRT) calculated independently from eye-tracker data and YOLO. Although we reached statistically significant results that speak in favor of possible method application for assessment of fitness to drive, we provide detailed directions for future driving simulation-based evaluation and propose processing workflow to secure reliable TTF calculation and its possible application in for example psychology and neuroscience.
Jezik:
Angleški jezik
Ključne besede:
eye tracker
,
driving simulation
,
neurology patients
,
fitness to drive
,
object detection
,
time to fixate
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FE - Fakulteta za elektrotehniko
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2024
Št. strani:
Str. 4277-4292
Številčenje:
Vol. 56, iss. 5
PID:
20.500.12556/RUL-160091
UDK:
004.94:629.4.072
ISSN pri članku:
1554-3528
DOI:
10.3758/s13428-023-02177-3
COBISS.SI-ID:
159757315
Datum objave v RUL:
19.08.2024
Število ogledov:
260
Število prenosov:
43
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Objavi na:
Gradivo je del revije
Naslov:
Behavior research methods
Skrajšan naslov:
Behav. res. meth.
Založnik:
Springer Nature, Psychonomic Society
ISSN:
1554-3528
COBISS.SI-ID:
517606681
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.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
sledilnik pogleda
,
simulacija vožnje
,
nevrološki pacienti
,
sposobnost za vožnjo
,
detekcija objektov
,
čas fiksacije
Projekti
Financer:
MESTD - Ministry of Education, Science and Technological Development of Republic of Serbia
Številka projekta:
451-03-47/2023-01/200103
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0246
Naslov:
ICT4QoL - informacijsko komunikacijske tehnologije za kakovostno življenje
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
L2-8178
Naslov:
Nevrofiziološko in kognitivno profiliranje vozniških sposobnosti
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