Browsing Conference Papers by Author "Craig Ashley"

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Browsing Conference Papers by Author "Craig Ashley"

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  • Brain activity associated with personality 
    Tran Yvonne; Craig Ashley; Wijesuriya Nirupama (Australian Psychological Society Ltd, 2006)
    People have long been fascinated about the association between brain activity and the shaping of personality and behaviour. Given our interest in the brain, it is not surprising that there have been numerous studies ...
  • Driver Fatigue: Psychological and Electroencephalography Assessment 
    Lal Saroj; Craig Ashley (Austroads, 2001)
    Task performance during driving may be influenced by psychological factors since individuals differ in temperament and anxiety status. Fatigue has also been shown to be associated with changes in brain wave activity. ...
  • Fatigue neurophysiology in professional and non-professional drivers 
    Lal Saroj; Craig Ashley (Pelvin & Association Pty Ltd, 2002)
    To date, no study has investigated different phases of fatigue (transitional: early, transitional to post-transitional: medium and post-transitional: extreme) between professional and non-professional drivers. Therefore, ...
  • The Relationship Between Negative Mood States and Fatigue 
    Wijesuriya Nirupama; Tran Yvonne; Craig Ashley (Australian Psychological Society Ltd, 2007)
    Depression is a prevalent disorder estimated to affect 121 million people at a given time. Those who have depression suffer predominantly from negative mood states and are believed to be at risk of other debilitative ...
  • Towards a countermeasure device to detect fatigue in drivers 
    Lal Saroj; Craig Ashley (ARRB Transport Research Ltd, 2003)
    Fatigue affects the drivers' ability to continue driving safely. Therefore, on-line monitoring of physiological signals while driving provides the possibility of detecting fatigue in real time. The EEG signal has been ...
  • Towards the Development of a Countermeasure Device to Detect Fatigue in Drivers from Electroencephalography Signals 
    Lal Saroj; Craig Ashley (Austroads, 2001)
    Fatigue affects the drivers' ability to continue driving safely. Therefore, on-line monitoring of physiological signals while driving provides the possibility of detecting fatigue in real time. The EEG signal has been ...