Essays about: "drowsiness detection"
Showing result 1 - 5 of 9 essays containing the words drowsiness detection.
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1. Tensor Decompositions of EEG Signals for Transfer Learning Applications
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : In this report, tensor decomposition methods of EEG signals have been evaluated for the purpose of transfer learning. The aim has been to address the person-to-person Brain-Computer Interface (BCI) calibration problem by transferring training data between sessions, which can shorten calibration times, extend the amount of training data, and enable using data from simulated environments in real world applications. READ MORE
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2. Video-Based Estimation of Driver Sleepiness Using Machine Learning
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Approximately 1.35 million people die each year in car accidents and it is the most common cause of death for people aged 5-29. Because of this it is of large interest to be able to detect when a driver enters a sleepy state and to be able to alert the driver. READ MORE
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3. Heart rate variability for driver sleepiness assessment
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Studies have reported that around 20 % of all traffic accidents are caused by a sleepy driver. Sleepy driving has been compared to drunk driving. A sleepy driver is also an issue in the case of automated vehicles in the future. Handing back the control of the vehicle to a sleepy driver is a serious risk. READ MORE
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4. Real-time acquisition and analysis ofElectro-oculography signals
University essay from Biomedicinsk instrumentteknik; Tekniska högskolanAbstract : Electro-oculography signals are corneo-retinal potentials that carry informationpertaining to eye movements. This information can be used to estimate drowsinesslevel of the subject which could provide interesting insights into research of acci-dent prevention. READ MORE
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5. EOG Signals in Drowsiness Research
University essay from Biomedicinsk instrumentteknik; Tekniska högskolanAbstract : Blink waveform in electrooculogram (EOG) data was used to develop and adjust the method of drowsiness detection in drivers. The origins of some other waveforms in EOG signal were not very clearly understood. READ MORE