Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving
In recent years, many driving studies in the traffic safety literature have undertaken error assessments of driver behaviour. However, few studies have been able to analyse the detailed individual vision and motor behaviours of drivers, due to the lack of reliable data and available technologies. Th...
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| Format: | Conference Paper |
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Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V
2015
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| Online Access: | http://ceur-ws.org/ http://hdl.handle.net/20.500.11937/22235 |
| _version_ | 1848750813623615488 |
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| author | Qian, S. Xia, Jianhong (Cecilia) Nadarajah, Nandakumaran Falkmer, Torbjorn Foster, Jonathan Lee, Hoe |
| author2 | B. Veenendaal |
| author_facet | B. Veenendaal Qian, S. Xia, Jianhong (Cecilia) Nadarajah, Nandakumaran Falkmer, Torbjorn Foster, Jonathan Lee, Hoe |
| author_sort | Qian, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In recent years, many driving studies in the traffic safety literature have undertaken error assessments of driver behaviour. However, few studies have been able to analyse the detailed individual vision and motor behaviours of drivers, due to the lack of reliable data and available technologies. Therefore, little is currently known about drivers' visual-motor coordination involving the use of visual information to regulate their physical movements. This research sets-up a technical framework to investigate on-road drivers' visual-motor coordination via vision tracking and vehicle positioning. The driving behaviour and performance were recorded and analysed using Eye Movement Tracking, Global Navigation Satellite System (GNSS) and Geographic Information Systems (GIS). The eye tracker recorded eye fixations and duration on video images to analyse the visual pattern of individual drivers. Real-time kinematic (RTK) post-processing of multi-GNSS generated vehicle movement trajectory at centimetre-level accuracy horizontally, which encompasses precise lateral positioning, speed and acceleration parameters of driving behaviours. The eye fixation data was then geocoded and synchronised with the vehicle movement trajectory in order to investigate the visual-motor coordination of the drivers. A prototype of implementation of the framework focusing on complex U-turn manoeuvre at a roundabout in five older drivers was presented in this paper. The visualisation of spatial-temporal patterns of visual-motor coordination for individual drivers allows for a greater insight to behaviour assessment. The on-road driving test in this study has also demonstrated a discriminant and ecologically valid approach in driving behaviour assessment, which can be used in studies with other cohort populations |
| first_indexed | 2025-11-14T07:42:48Z |
| format | Conference Paper |
| id | curtin-20.500.11937-22235 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:42:48Z |
| publishDate | 2015 |
| publisher | Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-222352023-02-27T07:34:27Z Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving Qian, S. Xia, Jianhong (Cecilia) Nadarajah, Nandakumaran Falkmer, Torbjorn Foster, Jonathan Lee, Hoe B. Veenendaal A. Kealy Tracking (position) Airships Vehicles - - Acceleration parameters Physical movements Visual motor coordination Vehicle positioning Global Navigation Satellite Systems Collision avoidance Technical frameworks Roads and streets Geographic information systems Global positioning system Eye-movement tracking Real time kinematic Biomechanics In recent years, many driving studies in the traffic safety literature have undertaken error assessments of driver behaviour. However, few studies have been able to analyse the detailed individual vision and motor behaviours of drivers, due to the lack of reliable data and available technologies. Therefore, little is currently known about drivers' visual-motor coordination involving the use of visual information to regulate their physical movements. This research sets-up a technical framework to investigate on-road drivers' visual-motor coordination via vision tracking and vehicle positioning. The driving behaviour and performance were recorded and analysed using Eye Movement Tracking, Global Navigation Satellite System (GNSS) and Geographic Information Systems (GIS). The eye tracker recorded eye fixations and duration on video images to analyse the visual pattern of individual drivers. Real-time kinematic (RTK) post-processing of multi-GNSS generated vehicle movement trajectory at centimetre-level accuracy horizontally, which encompasses precise lateral positioning, speed and acceleration parameters of driving behaviours. The eye fixation data was then geocoded and synchronised with the vehicle movement trajectory in order to investigate the visual-motor coordination of the drivers. A prototype of implementation of the framework focusing on complex U-turn manoeuvre at a roundabout in five older drivers was presented in this paper. The visualisation of spatial-temporal patterns of visual-motor coordination for individual drivers allows for a greater insight to behaviour assessment. The on-road driving test in this study has also demonstrated a discriminant and ecologically valid approach in driving behaviour assessment, which can be used in studies with other cohort populations 2015 Conference Paper http://hdl.handle.net/20.500.11937/22235 http://ceur-ws.org/ http://ceur-ws.org/Vol-1323/paper36.pdf Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V fulltext |
| spellingShingle | Tracking (position) Airships Vehicles - - Acceleration parameters Physical movements Visual motor coordination Vehicle positioning Global Navigation Satellite Systems Collision avoidance Technical frameworks Roads and streets Geographic information systems Global positioning system Eye-movement tracking Real time kinematic Biomechanics Qian, S. Xia, Jianhong (Cecilia) Nadarajah, Nandakumaran Falkmer, Torbjorn Foster, Jonathan Lee, Hoe Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving |
| title | Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving |
| title_full | Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving |
| title_fullStr | Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving |
| title_full_unstemmed | Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving |
| title_short | Positioning Eye Fixation and Vehicle Movement: Visual-motor Coordination Assessment in Naturalistic Driving |
| title_sort | positioning eye fixation and vehicle movement: visual-motor coordination assessment in naturalistic driving |
| topic | Tracking (position) Airships Vehicles - - Acceleration parameters Physical movements Visual motor coordination Vehicle positioning Global Navigation Satellite Systems Collision avoidance Technical frameworks Roads and streets Geographic information systems Global positioning system Eye-movement tracking Real time kinematic Biomechanics |
| url | http://ceur-ws.org/ http://ceur-ws.org/ http://hdl.handle.net/20.500.11937/22235 |