Browsing Conference Papers by Issue Date

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Browsing Conference Papers by Issue Date

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  • 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 ...
  • 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, ...
  • Robust short term prediction using combination of linear regression and modified probabilistic neural network model 
    Jan Tony (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2003)
    In many business applications, accurate short term prediction is vital for survival. Many different techniques have been applied to model business data in order to produce accurate prediction. Artificial neural network ...
  • 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 ...
  • Neural Network classifiers for automated video surveillance 
    Piccardi Massimo; Jan Tony; Hintz Thomas (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2003)
    In automated visual surveillance applications, detection of suspicious human behaviors is of great practical importance. However due to random nature of human movements, reliable classification of suspicious human ...
  • Support Vector Machines based on set covering 
    Wang Jiaqi; Zhang Chengqi (Macquarie Scientific Publishing, 2004)
    Support Vector Machines (SVMs) have been the promising method in the field of machine learning. But for the real applications there are still some drawbacks in SVMs. e.g. the high training cost and too many support ...
  • Applying the ISO9126 Model to the evaluation of an e-learning system 
    Chua Bee Bee; Dyson Laurel (Australiasian Society for computers in Learning in Tertiary Education, 2004)
    Despite the widespread use of e-learning systems and the considerable investment in purchasing or developing them in house, there is no consensus on a standard framework for evaluating system quality. This paper proposes ...
  • Event Prediction and Object Motion Estimation in the Development of Visual Attention 
    Balkenius Christian; Johansson Birger (Lund University Cognitive Studies, 123. Lund: LUCS, 2005)
    A model of gaze control is describes that includes mechanisms for predictive control using a forward model and event driven expectations of target behavior. The model roughly undergoes stages similar to those of human ...
  • Context based riskiness assessment 
    Chang Elizabeth; Hussain Farookh; Hussain Omar; Dillon Tharam; Soh Ben (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    In almost every interaction the trusting peer might fear about the likelihood of the loss in the resources involved during the transaction. This likelihood of the loss in the resources is termed as Risk in the transaction. ...
  • The role of structure in the failure of organisations to learn and transform 
    Fenech Bryan; Dovey Kenneth (University of Trento, Italy, 2005)
  • It's a Child's Game: Investigating Cognitive Development with Playing Robots 
    Johansson Birger; Balkenius Christian (IEEE, 2005)
    To study and simulate cognitive development, it is useful to find a natural domain where many cognitive functions are needed and, but where the complexity of the environment and task is reasonable. We suggest that childrens ...
  • PIPPON: A physical infrastructure peer-to-peer overlay networks 
    Le Thi Hong Hanh; Hoang Doan; Simmonds Andrew (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2005)
    The scalability and efficiency of P2P systems are determined largely by two factors: the degree of matching between the P2P overlay and its underlying physical network, and the efficiency ofthe P2P application routing ...
  • Two Channel EEG thought pattern classifier 
    Nguyen Hung; Craig Daniel; Burchey Harold (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    This paper presents a real-time Electro- Encephalogram (EEG) identification system with the goal of achieving hands free control. With two EEG electrodes placed on the scalp of the user, EEG signals are amplified and ...
  • Improved Head Direction Command Classification Using An Optimized Bayesian Neural Network 
    Nguyen Thanh Son; Nguyen Hung; Taylor Philip; Middleton James (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    Assistive technologies have recently emerged to improve the quality of life of severely disabled people by enhancing their independence in daily activities. Since many of those individuals have limited or non-existing ...
  • Reflections on smoke breaks: A case for positive addiction 
    Ievleva Lydia; Murphy Susan (Australian Psychological Society Ltd, 2006)
    Consider this: Everything about the smoking habit is excellent for health and well-being. Everything, that is, except the cigarette! Taking hourly breaks, to stretch one's legs and eyes, spend time in nature, with ...
  • Relaxation applied to recovery from training: implications for preventing overtraining 
    Ievleva Lydia (Australian Psychological Society Ltd, 2006)
    Prevention of overtraining has typically focused on monitoring and adjusting training loads, while the recovery period between training sessions remains largely overlooked, except in relation to diet and sleep. ...
  • Early driver fatigue detection from electroencephalography signals using artificial neural networks 
    Nguyen Hung; King Leslie; Lal Saroj (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    This paper describes a driver fatigue detection system using an Artificial Neural Network (ANN). Using electroencephalogram (EEG) data sampled from 20 professional truck drivers and 35 non professional drivers, the time ...
  • Neural-network detection of hypoglycemic episodes in children with type 1 diabetes using physiological responses 
    Ghevondian Nejhdeh; Nguyen Hung; Jones Timothy (The Institute of Electrical and Electronic Engineers Inc (IEEE), 2006)
    The most common and highly feared adverse effect of intensive insulin therapy in patients with diabetes is the increased risk of hypoglycemia. Symptoms of hypoglycemia arise from the activation of the autonomous central ...
  • 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 ...