Results 61 to 70 of about 1,740 (178)
Aplicación móvil para la detección de somnolencia de un conductor aplicando visión artificial
Revista Tecnológica, 2017 El presente trabajo se fundamenta en el desarrollo de una aplicación móvil para la detección de somnolencia de un conductor usando visión artificial, la misma que es nativa para el sistema operativo Android, El proceso de detección de somnolencia consta
Mario Andrés Palma Jaramillo +1 more
doaj +4 more sources
Research on fatigue driving warning based on image processing
Dianzi Jishu Yingyong, 2019 This paper researches the fatigue driving detection system based on the knowledge of image processing. After constructing the face correlation database, the main fatigue related information is obtained by the hybrid model algorithm. Firstly, the image is
Liu Chaotao, Zhang Xuejiao
doaj +1 more source
Fast Computation of PERCLOS and Saccadic Ratio
, 2015 This thesis describes the development of fast algorithms for the computation of PERcentage CLOSure of eyes (PERCLOS) and Saccadic Ratio (SR). PERCLOS and SR are two ocular parameters reported to be measures of alertness levels in human beings. PERCLOS is the percentage of time in which at least 80% of the eyelid remains closed over the pupil.
Dasgupta, Anirban, Routray, Aurobinda
openaire +2 more sources
A neural network to classify fatigue from human-computer interaction [PDF]
, 2016 Fatigue, especially in its mental form, is one of the most worrying health problems nowadays. It affects not only health but also motivation, emotions and feelings and has an impact both at the individual and organizational level.
Carneiro, Davide Rua +3 more
core +1 more source
Towards a human eye behavior model by applying Data Mining Techniques on Gaze Information from IEC [PDF]
, 2008 In this paper, we firstly present what is Interactive Evolutionary Computation (IEC) and rapidly how we have combined this artificial intelligence technique with an eye-tracker for visual optimization.
Baccino, Thierry +2 more
core +2 more sources
Driver EEG Attention Monitoring Based on Wavelet Packet Decomposition and BiLSTM
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Aiming at the problem of insufficient feature extraction and low efficiency of dynamic time series modeling caused by the nonstationarity of driver electroencephalogram (EEG) signals in driving scenarios, this paper constructed an innovative framework that integrates wavelet packet decomposition (WPD) and bidirectional long short‐term memory (BiLSTM ...
Qiuyun Wang +3 more
wiley +1 more source
Automated drowsiness detection for improved driving safety [PDF]
, 2008 Several approaches were proposed for the detection and prediction of drowsiness. The approaches can be categorized as estimating the fitness of duty, modeling the sleep-wake rhythms, measuring the vehicle based performance and online operator monitoring ...
Bartlett, Marian +7 more
core
Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques
IEEE Access, 2022 The majority of the accidents were happening perpetually due to driver drowsiness over the decades. Automation has been playing key role in many fields to provide conformity and improve the quality of life of the users.
V. Uma Maheswari +5 more
doaj +1 more source
A Study of Integrated Driver fatigue Judging Algorithm Based on Principal Component Analysis
MATEC Web of Conferences, 2018 As the number of vehicles increases, the probability of fatigue driving rises accordingly, resulting in a boost in the accident rate. Based on principal component analysis, the paper presents a fatigue monitoring algorithm that integrates with facial ...
Ma Zhipeng, Yao Shuwan, Li Junxian
doaj +1 more source
Mercury: a vision-based framework for Driver Monitoring [PDF]
, 2020 In this paper, we propose a complete framework, namely Mercury, that combines Computer Vision and Deep Learning algorithms to continuously monitor the driver during the driving activity.
Guido Borghi +3 more
core +1 more source