Driver Drowsiness Detection
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| Author | : Aleksandar Čolić |
| Publisher | : Springer |
| Total Pages | : 57 |
| Release | : 2014-09-27 |
| Genre | : Computers |
| ISBN | : 3319115359 |
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.
| Author | : Michael Lew |
| Publisher | : Springer |
| Total Pages | : 157 |
| Release | : 2007-10-08 |
| Genre | : Computers |
| ISBN | : 9783540757726 |
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.
| Author | : Aleksandar Colic |
| Publisher | : Springer |
| Total Pages | : 50 |
| Release | : 2014-10-04 |
| Genre | : Computers |
| ISBN | : 9783319115368 |
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.
| Author | : S. Smys |
| Publisher | : Springer Nature |
| Total Pages | : 1212 |
| Release | : 2021-06-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811596476 |
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.
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2017-11-30 |
| Genre | : |
| ISBN | : 9781538623152 |
This conference covers the joint areas of pattern recognition, artificial intelligence, robotics and mechatronics
| Author | : Asis Kumar Tripathy |
| Publisher | : Springer Nature |
| Total Pages | : 525 |
| Release | : 2020-06-11 |
| Genre | : Technology & Engineering |
| ISBN | : 981154218X |
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.
| Author | : Ignacio Rojas |
| Publisher | : Springer |
| Total Pages | : 938 |
| Release | : 2019-06-05 |
| Genre | : Computers |
| ISBN | : 3030205185 |
This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 273 |
| Release | : 2016-09-12 |
| Genre | : Transportation |
| ISBN | : 0309392527 |
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.
| Author | : Srihitha Jujhavarapu |
| Publisher | : |
| Total Pages | : 37 |
| Release | : 2017 |
| Genre | : Drowsy driving |
| ISBN | : 9780355521115 |
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.
| Author | : |
| Publisher | : |
| Total Pages | : 30 |
| Release | : 2000 |
| Genre | : Automobile driving |
| ISBN | : 9780642544698 |
