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OBJECTIVE The objective of this study is the development and evaluation of efficient neurophysiological signal statistics, which may assess the driver's alertness level and serve as potential indicators of sleepiness in the design of an on-board countermeasure system. METHODS Multichannel EEG, EOG, EMG, and ECG were recorded from sleep-deprived subjects(More)
This paper is presenting the efforts to implement in real time and for on-board applications a set of Driver-Vehicle-Environment (DVE) monitoring modules based on the theoretical work done in DVE modelling within the EC 6th FW co funded AIDE Integrated Project. First the need for such an implementation will be discussed. Then the basic DVE modelling(More)
Various types of driver models have been proposed in the literature, such as taxonomic, functional, and motivational. Recently, the promising Michon model was extended, leading to the widely used GADGET matrix. Nevertheless, the correlation of such models to actual road accidents and their causes has so far been weak. In addition, the use of those models(More)
The model of Driver-Vehicle-Environment will be one of the essential elements in order to personalise the design of Human-Machine Interfaces (HMI) of ADAS/IVIS systems in modern vehicles. In this paper the fundamental correlations for developing such models are discussed in some detail. 1. INTRODUCTION The development of concepts for safe and efficient(More)
In today's society, there is an increasing number of workplaces in virtual environments (VE). But, there are only a few reports dealing with occupational health issues or age effects. The question arises how VR generally interferes with cognitive processes. This interference might have relevant implications for workability and work-efficiency in virtual(More)
Driver sleepiness due to sleep deprivation is a causative factor in 1% to 3% of all motor vehicle crashes. In recent studies, the importance of developing driver fatigue countermeasure devices has been stressed, in order to help prevent driving accidents and errors. Although numerous physiological indicators are available to describe an individual's level(More)
This paper presents the concept of a new intelligent and intuitive User Interface for the control of home appliances and services by Elderly and Disabled users (E&D). This will be achieved by natural language processing (NLR) and gesture recognition (GR). This is the concept behind HOME project (DE 3003) sponsored by the EU initiative on Telematics(More)