Evangelos Bekiaris

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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)
The objective of AWAKE project is to increase traffic safety by reducing the number and the consequences of traffic accidents caused by driver hypovigilance. The aim is to develop an unobtrusive, reliable system, which monitors the driver and the environment and detects in real time hypovigilance, based on multiple parameters. In order to meet this(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)
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)
– In this paper a multi-sensor collision avoidance system is presented for automotive applications. For obstacle detection and tracking, Millimeter Wave (MMW) Radar and a Far Infrared (FIR) Camera are chosen in order to provide object lists to the sensors' trackers respectively. The algorithm of the track management, data association, filtering and(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)