Sensor-based classification of primary and secondary car driver activities using convolutional neural networks

R Doniec, J Konior, S Sieciński, A Piet, MT Irshad… - Sensors, 2023 - mdpi.com
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …

Evaluation of Intoxication Level with EOG Analysis and Machine Learning: A Study on Driving Simulator*

N Piaseczna, K Duraj, R Doniec… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Driving after consuming alcohol can be dangerous, as it negatively affects judgement,
reaction time, coordination, and decision-making abilities, increasing the risk of accidents …

[HTML][HTML] The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques

RJ Doniec, N Piaseczna, K Duraj, S Sieciński… - Systems and Soft …, 2024 - Elsevier
The operation of a motor vehicle under the influence of alcohol poses a significant risk to the
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …

[PDF][PDF] Sieci nski, S

N Piaseczna, R Doniec - Osadcha, O - researchgate.net
As the automotive industry undergoes a phase of rapid transformation driven by
technological advancements, the integration of driving simulators stands out as an important …

Classification of Recorded Electrooculographic Signals on Drive Activity for Assessing Four Kind of Driver Inattention by Bagged Trees Algorithm: A Pilot Study

R Doniec, S Sieciński, N Piaseczna, K Duraj… - Polish Conference on …, 2023 - Springer
The act of engaging in secondary activities while driving can cause safety risks on public
roads due to the driver's distracted attention. The objective of the research was to predict …

Classification of the Condition of Pavement with the Use of Machine Learning Methods

P Tomiło - Transport and Telecommunication Journal, 2023 - sciendo.com
The publication includes a review of information on the methods of pavement condition
recognition using various methods. Measurement system has been presented that allows to …

[HTML][HTML] Driving Reality vs. Simulator: Data Distinctions

N Piaseczna, R Doniec, S Sieciński, K Barańska… - Electronics, 2024 - mdpi.com
As the automotive industry undergoes a phase of rapid transformation driven by
technological advancements, the integration of driving simulators stands out as an important …

Deep learning approaches for classification of road types using wearable sensors embedded in smart glasses

S Mekruksavanich, P Jantawong… - … on Digital Arts …, 2023 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an architecture of the intelligent transportation system that
combines automotive, transportation, and information exchange to increase road safety. The …

Does glucose affect our vision? A preliminary study using smart glasses

N Piaseczna, R Doniec, S Sieciński… - 2023 IEEE EMBS …, 2023 - ieeexplore.ieee.org
In this study, we investigate the relationship between blood glucose levels and visual acuity
during simulated driving using smart glasses and machine learning. We found compelling …

Distinguishing Drivers via Wearable Sensor Data and Machine Learning

N Piaseczna, R Doniec, K Duraj, S Sieciński… - 2024 - preprints.org
This article uses machine learning analysis of wearable sensor data to explore the topic of
driver differentiation. The study focuses on using detailed analyzes of data collected from …