Book ChapterDOI
Multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision
Paul D. Rosero-Montalvo,Vivian F. López-Batista,Diego Hernán Peluffo-Ordóñez,Vanessa C. Erazo-Chamorro,Ricardo P. Arciniega-Rocha +4 more
- pp 234-243
Reads0
Chats0
TLDR
The amount of training samples is significantly reduced, while an admissible classification performance is achieved - reaching then suitable settings regarding the given device’s conditions.Abstract:
This work presents a system for detecting excess alcohol in drivers to reduce road traffic accidents. To do so, criteria such as alcohol concentration the environment, a facial temperature of the driver and width of the pupil are considered. To measure the corresponding variables, the data acquisition procedure uses sensors and artificial vision. Subsequently, data analysis is performed into stages for prototype selection and supervised classification algorithms. Accordingly, the acquired data can be stored and processed in a system with low-computational resources. As a remarkable result, the amount of training samples is significantly reduced, while an admissible classification performance is achieved - reaching then suitable settings regarding the given device’s conditions.read more
Citations
More filters
Journal ArticleDOI
Hybrid Embedded-Systems-Based Approach to in-Driver Drunk Status Detection Using Image Processing and Sensor Networks
TL;DR: A system whose main objective is identifying a person having alcohol in the blood through supervised classification of sensor-generated and computer-vision-based data and reaches a classification performance of 98% while ensures adequate operation conditions for the embedded system is introduced.
Journal ArticleDOI
Intelligent WSN System for Water Quality Analysis Using Machine Learning Algorithms: A Case Study (Tahuando River from Ecuador)
Paul D. Rosero-Montalvo,Vivian F. López-Batista,Jaime A. Riascos,Diego Hernán Peluffo-Ordóñez +3 more
TL;DR: A wireless sensor network (WSN) system able to determine the water quality of rivers, and introduces the so-called quantitative metric of balance (QMB), which measures the balance or ratio between performance and power consumption.
Journal ArticleDOI
Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector
TL;DR: In this paper , the authors presented an effective data-driven anomaly detection scheme for drunk driving detection, which amalgamates the desirable features of the t-distributed stochastic neighbor embedding (t-SNE) as a feature extractor with the Isolation Forest (iF) scheme to detect drivers' drunkenness status.
Journal ArticleDOI
Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector
TL;DR: In this article , the authors presented an effective data-driven anomaly detection scheme for drunk driving detection, which amalgamates the desirable features of the t-distributed stochastic neighbor embedding (t-SNE) as a feature extractor with the Isolation Forest (iF) scheme to detect drivers' drunkenness status.
Book ChapterDOI
A New Approach to Supervised Data Analysis in Embedded Systems Environments: A Case Study
Pamela E. Godoy-Trujillo,Paul D. Rosero-Montalvo,Luis Suárez-Zambrano,Diego Hernán Peluffo-Ordóñez,Edgardo Javier Revelo-Fuelagán +4 more
TL;DR: A selection approach of supervised algorithms with a prototypes selection criterion is presented, which allows an adequate embedded system performance and is determined that the algorithm for the data selection is Condensed Nearest Neighbors and the classification algorithm is k-Nearest Neighbour (k-NN).
References
More filters
Journal ArticleDOI
Drunk driving detection based on classification of multivariate time series
Zhenlong Li,Jin Xue,Zhao Xiaohua +2 more
TL;DR: Drunk driving detection based on the analysis of multivariate time series is feasible and effective and has implications for drunk driving detection.
Proceedings ArticleDOI
Alcohol detection for car locking system
TL;DR: In this prototyped project, an attempt will be made to develop a locking system for cars so it would not start without alcohol checking mechanism, taking the advantage of a pre-existing Alcohol sensor.
Proceedings ArticleDOI
The Design of an Automotive Anti-Drunk Driving System to Guarantee the Uniqueness of Driver
TL;DR: An automotive anti-drunk driving system with real-time monitoring is introduced that solved the problem that current automotive alcohol detecting system can not ensure the uniqueness of the driver, and further improved the safety of the car.
Journal ArticleDOI
Intelligent System for Identification of Wheelchair User’s Posture Using Machine Learning Techniques
Paul D. Rosero-Montalvo,Diego Hernn Peluffo-Ordonez,Vivian F. López Batista,Jorge Serrano,Edwin A. Rosero +4 more
TL;DR: An intelligent system aimed at detecting a person’s posture when sitting in a wheelchair reaching a good tradeoff between the necessary amount of data and performance is accomplished.
Journal ArticleDOI
Local difference patterns for drunk person identification
TL;DR: The proposed method can be incorporated into a non-invasive inspection commercial system to be used by the police as a first step for intoxicated person detection.