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Assessing drivers' physiological responses using consumer grade devices
ID
Gruden, Timotej
(
Avtor
),
ID
Stojmenova Pečečnik, Kristina
(
Avtor
),
ID
Sodnik, Jaka
(
Avtor
),
ID
Jakus, Grega
(
Avtor
)
PDF - Predstavitvena datoteka,
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MD5: 05A428FE63ACCECABAEA14C9F104A2C0
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/2076-3417/9/24/5353
Galerija slik
Izvleček
The ability to measure drivers’ physiological responses is important for understanding their state and behavior under different driving conditions. Such measurements can be used in the development of novel user interfaces, driver profiling, advanced driver assistance systems, etc. In this paper, we present a user study in which we performed an evaluation of two commercially available wearable devices for assessment of drivers’ physiological signals. Empatica’s E4 wristband measures blood volume pulse (BVP), inter-beat interval (IBI), galvanic skin response (GSR), temperature, and acceleration. Bittium’s Faros 360 is an electrocardiographic (ECG) device that can record up to 3-channel ECG signals. The aim of this study was to explore the use of such devices in a dynamic driving environment and their ability to differentiate between different levels of driving demand. Twenty-two participants (eight female, 14 male) aged between 18 and 45 years old participated in the study. The experiment compared three phases: Baseline (no driving), easy driving scenario, and demanding driving scenario. Mean and median heart rate variability (HRV), standard deviation of R–R intervals (SDNN), HRV variables for shorter time frames (standard deviation of the average R–R intervals over a shorter period—SDANN and mean value of the standard deviations calculated over a shorter period—SDNN index), HRV variables based on successive differences (root mean square of successive differences—RMSSD and percentage of successive differences, greater than 50 ms—pNN50), skin temperature, and GSR were observed in each phase. The results showed that motion artefacts due to driving affect the GSR recordings, which may limit the use of wrist-based wearable devices in a driving environment. In this case, due to the limitations of the photoplethysmography (PPG) sensor, E4 only showed differences between non-driving and driving phases but could not differentiate between different levels of driving demand. On the other hand, the results obtained from the ECG signals from Faros 360 showed statistically significant differences also between the two levels of driving demand.
Jezik:
Angleški jezik
Ključne besede:
physiological signals
,
heart rate variability
,
HRV
,
user study
,
validation
,
driving environment
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:
2019
Št. strani:
23 str.
Številčenje:
Vol. 9, iss. 24, art. 5353
PID:
20.500.12556/RUL-133111
UDK:
612:629.3.072
ISSN pri članku:
2076-3417
DOI:
10.3390/app9245353
COBISS.SI-ID:
12780884
Datum objave v RUL:
11.11.2021
Število ogledov:
8944
Število prenosov:
183
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
Applied sciences
Skrajšan naslov:
Appl. sci.
Založnik:
MDPI
ISSN:
2076-3417
COBISS.SI-ID:
522979353
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:
07.12.2019
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
fiziološki signali
,
spremenljivost srčnega utripa
,
HRV
,
uporabniške študije
,
validacija
,
vozno okolje
Projekti
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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