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Driver Drowsiness Detection

Driver Drowsiness Detection PDF Author: Aleksandar Čolić
Publisher: Springer
ISBN: 3319115359
Category : Computers
Languages : en
Pages : 57

Book Description
This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

Driver Drowsiness Detection

Driver Drowsiness Detection PDF Author: Aleksandar Čolić
Publisher: Springer
ISBN: 3319115359
Category : Computers
Languages : en
Pages : 57

Book Description
This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

Human-Computer Interaction

Human-Computer Interaction PDF Author: Michael Lew
Publisher: Springer
ISBN: 9783540757726
Category : Computers
Languages : en
Pages : 157

Book Description
This book constitutes the refereed proceedings of the International Workshop on Human Computer Interaction, HCI 2007. Coverage in the 16 revised full papers presented includes affective detection and recognition, human motion tracking, multimedia data modeling and visualization, HCI issues in image/video retrieval, learning in HCI, input and interaction techniques, perceptual user interfaces, wearable and pervasive technologies in HCI and intelligent virtual environments.

Driver Drowsiness Detection

Driver Drowsiness Detection PDF Author: Aleksandar Colic
Publisher: Springer
ISBN: 9783319115368
Category : Computers
Languages : en
Pages : 50

Book Description
This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA RobMech)

2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA RobMech) PDF Author: IEEE Staff
Publisher:
ISBN: 9781538623152
Category :
Languages : en
Pages :

Book Description
This conference covers the joint areas of pattern recognition, artificial intelligence, robotics and mechatronics

Computer Networks and Inventive Communication Technologies

Computer Networks and Inventive Communication Technologies PDF Author: S. Smys
Publisher: Springer Nature
ISBN: 9811596476
Category : Technology & Engineering
Languages : en
Pages : 1212

Book Description
This book is a collection of peer-reviewed best selected research papers presented at 3rd International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2020). The book covers new results in theory, methodology, and applications of computer networks and data communications. It includes original papers on computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings of this conference is a valuable resource, dealing with both the important core and the specialized issues in the areas of next generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practice. It is a reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners for advance work in the area.

Advances in Distributed Computing and Machine Learning

Advances in Distributed Computing and Machine Learning PDF Author: Asis Kumar Tripathy
Publisher: Springer Nature
ISBN: 981154218X
Category : Technology & Engineering
Languages : en
Pages : 525

Book Description
This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Drowsiness Detection Using Image Processing

Drowsiness Detection Using Image Processing PDF Author: Hanojhan Rajahrajasingh
Publisher: GRIN Verlag
ISBN: 3346082229
Category : Technology & Engineering
Languages : en
Pages : 60

Book Description
Bachelor Thesis from the year 2019 in the subject Engineering - Robotics, grade: 78, University of Sunderland, language: English, abstract: This report explains the final project, driver drowsiness detection system. When a driver doesn’t get proper rest, they fall asleep while driving and this leads to fatal accidents. This particular issue demands a solution in the form of a system that is capable of detecting drowsiness and to take necessary actions to avoid accidents. The detection is achieved with three main steps, it begins with face detection and facial feature detection using the famous Viola Jones algorithm followed by eye tracking. By the use of correlation coefficient template matching, the eyes are tracked. Whether the driver is awake or asleep is identified by matching the extracted eye image with the externally fed template (open eyes and closed eyes) based on eyes opening and eyes closing, blinking is recognized. If the driver falling asleep state remains above a specific time (the threshold time) the vehicles stops and an alarm is activated by the use of a specific microcontroller, in this prototype an Arduino is used.

Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety

Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309392527
Category : Transportation
Languages : en
Pages : 273

Book Description
There are approximately 4,000 fatalities in crashes involving trucks and buses in the United States each year. Though estimates are wide-ranging, possibly 10 to 20 percent of these crashes might have involved fatigued drivers. The stresses associated with their particular jobs (irregular schedules, etc.) and the lifestyle that many truck and bus drivers lead, puts them at substantial risk for insufficient sleep and for developing short- and long-term health problems. Commercial Motor Vehicle Driver Fatigue, Long-Term Health and Highway Safety assesses the state of knowledge about the relationship of such factors as hours of driving, hours on duty, and periods of rest to the fatigue experienced by truck and bus drivers while driving and the implications for the safe operation of their vehicles. This report evaluates the relationship of these factors to drivers' health over the longer term, and identifies improvements in data and research methods that can lead to better understanding in both areas.

Evolution in Computational Intelligence

Evolution in Computational Intelligence PDF Author: Vikrant Bhateja
Publisher: Springer Nature
ISBN: 9811557888
Category : Technology & Engineering
Languages : en
Pages : 780

Book Description
This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.

Real Time Driver Drowsiness Detection

Real Time Driver Drowsiness Detection PDF Author: Srihitha Jujhavarapu
Publisher:
ISBN: 9780355521115
Category : Drowsy driving
Languages : en
Pages : 37

Book Description
Abstract: Driver drowsiness has become a significant threat resulting in traffic accidents and causing severe injuries or death. Therefore, monitoring this condition is paramount to alert drivers, and to avoid fatal accidents. A hardware design to detect the drowsiness is proposed in this thesis and the outputs to justify the thesis is simulated in LT Spice. The drowsiness of the driver is associated with an immediate change in their heart rate. Electrocardiogram (ECG) is used to detect accurate heart rate and hence, used as a parameter in the proposed design. The proposed design consists of a non-contact ECG sensor as an input source and a circuit with a two-stage amplifier to improve the strength of the ECG signal and filters to minimize the noise. A maximum peak ECG output voltage of about 2.8V is obtained in LT Spice. The resulting ECG output is sufficient to detect the drowsiness of a driver and prevents major accidents.