Research of Fatigue Driving Warning System Based on Android

2014 ◽  
Vol 701-702 ◽  
pp. 400-404
Author(s):  
Jing Li Duan ◽  
Chun Fei Zhang ◽  
Qiu Shuang Wang
Keyword(s):  
Face Detection ◽  
Detection Method ◽  
Smart Phone ◽  
Warning System ◽  
The State ◽  
Smart Phones ◽  
Running Speed ◽  
Android System ◽  
Fatigue Driving ◽  
Fatigue Detection

This paper proposed a method for detecting fatigue detection Android smart phone system, and applied to the Android system. The system monitors the state of fatigue by smart phones photographs. Face detection method is used to localize the eyes of the driver and the eye region is extracted to monitor the movement of eyelids. An alarm rule is designed based on the PERCLOS standard to detect drowsy driving.Experiments show that the method is accurate rate, running speed, and can be used to monitor driver fatigue during the day.

Analysis on Mobile Learning by Using Smart Phones among Chinese University Students

2014 ◽  
Vol 519-520 ◽  
pp. 1667-1670
Author(s):  
Huan Cao ◽  
Zhao Hui Guo
Keyword(s):  
University Students ◽  
Mobile Learning ◽  
The State ◽  
Smart Phones ◽  
Chinese University ◽  
Android System ◽  
Chinese University Students ◽  
Level Of Understanding ◽  
Learning By Using

Mobile learning based on smart phones has become a hot topic in research.In this paper, questionnaires and interviews were applied to survey the state of Chinese university students' mobile learning by using smart phones, and 360 students from 5 universities in Wuhan were chose as samples.The research discovers that the students' level of understanding about mobile learning is still low.Even though most of them possess smart phones with Android system, they seldom use smart phones to learn their major in after-class time.To improve the performance of mobile learning by using smart phones,the R&D of smart phones should be strengthened, more abundant learning APP should be developed and the coverage of wifi should be widened.

scholarly journals Augmented Reality Navigation System on Android

2016 ◽  
Vol 6 (1) ◽  
pp. 406 ◽  
Author(s):  
Chee Oh Chung ◽  
Yilun He ◽  
Hoe Kyung Jung
Keyword(s):  
Augmented Reality ◽  
Smart Phone ◽  
Smart Phones ◽  
Location Information ◽  
Navigation Systems ◽  
Digital Information ◽  
Basic Information ◽  
Design And Implementation ◽  
Current Location ◽  
Android System

With the advent of the Android system, smart phones are rapidly developing and through the conveniency of accessing internet on the smart phones, a user’s location information can be accessed anywhere and anytime easily. Augmented Reality Based Technology enables the provision of variety information such as pictures and location of buildings in the navigation field. Most of the augmented reality program used to Visual Trace Method (Marker method and Markerless Method). For the Visual Trace Method, the marker installation and digital information should be assigned while the Non-visual Trace Method requires the use of hardware (G.P.S, sensors etc). Most navigation systems can only show the path from a user’s current location to their destination. In this paper, the design and implementation of an augmented reality program is discussed. It will use the smart phone’s inbuilt camera and GPS to display a user’s surround information in real time on the smart phone. The proposed system will combine the G.P.S location-based technology and virtual trace technology to provide the user with basic information about a building they are looking for or one in their immediate surrounding.

Location-Based Services and Navigation in Smart Phones

2012 ◽  
pp. 196-229
Author(s):  
Ling Pei ◽  
Zhengjun Liu
Keyword(s):  
Communication Networks ◽  
Basic Concept ◽  
State Of The Art ◽  
Smart Phone ◽  
The State ◽  
Location Based Services ◽  
Smart Phones ◽  
Technical Solutions ◽  
New Generation

The ubiquitous positioning ability and abundant computation capability of a smart phone allow the provision of a variety of location-based services (LBSs). This chapter focuses on the fundamental elements and principles of LBS in a smart phone. First, the basic concept of LBS is introduced. Second, the state-of-the-art smart phones and communication networks are described. Afterwards, the smart phone positioning technologies are presented as three groups: satellite-based technologies, network-based solutions, and sensor-based approaches. Then, the location relevant services, contents, data, and context in a smart phone are explained. Furthermore, in the perspective of the new generation of LBS, the emerging features and technical solutions are discussed. Finally, three examples show how the above elements are integrated into the LBS applications in a smart phone.

scholarly journals A NOVEL APPROACH TO CAMERA CALIBRATION METHOD FOR SMART PHONES UNDER ROAD ENVIRONMENT

2016 ◽  
Vol XLI-B5 ◽  
pp. 49-54
Author(s):  
Bijun Lee ◽  
Jian Zhou ◽  
Maosheng Ye ◽  
Yuan Guo
Keyword(s):  
Camera Calibration ◽  
Smart Phone ◽  
Warning System ◽  
Image Data ◽  
Calibration Method ◽  
Smart Phones ◽  
Driver Assistance Systems ◽  
The Road ◽  
Novel Approach ◽  
On The Road

Monocular vision-based lane departure warning system has been increasingly used in advanced driver assistance systems (ADAS). By the use of the lane mark detection and identification, we proposed an automatic and efficient camera calibration method for smart phones. At first, we can detect the lane marker feature in a perspective space and calculate edges of lane markers in image sequences. Second, because of the width of lane marker and road lane is fixed under the standard structural road environment, we can automatically build a transformation matrix between perspective space and 3D space and get a local map in vehicle coordinate system. In order to verify the validity of this method, we installed a smart phone in the ‘Tuzhi’ self-driving car of Wuhan University and recorded more than 100km image data on the road in Wuhan. According to the result, we can calculate the positions of lane markers which are accurate enough for the self-driving car to run smoothly on the road.

Driver Fatigue Detection Based On Facial Feature Analysis

2021 ◽  
pp. 2150034
Author(s):  
Yimin Zhang ◽  
Xianwei Han ◽  
Wei Gao ◽  
Yunliang Hu
Keyword(s):  
Traffic Accidents ◽  
Detection System ◽  
Recognition Rate ◽  
Ccd Camera ◽  
Facial Feature ◽  
The State ◽  
Driver Fatigue ◽  
Eyelid Closure ◽  
Fatigue Driving ◽  
Fatigue Detection

Fatigue driving is one of the main causes of traffic accidents. In recent years, considerable attention has been paid to fatigue detection systems, which is an important solution for preventing fatigue driving. In order to prevent and reduce fatigue driving, a driver fatigue detection system based on computer vision is proposed. In this system, an improved face detection method is used to detect the driver’s face from the image obtained by a charge coupled device (CCD) camera. Then, the feature points of the eyes and mouth are located by an ensemble of regression trees. Next, fatigue characteristic parameters are calculated by the improved percentage of eyelid closure over the pupil over time algorithm. Finally, the state of drivers is evaluated by using a fuzzy neural network. The system can effectively monitor and remind the state of drivers so as to significantly avoid or decrease the occurrence of traffic accidents. The experimental results show that the system is of wonderful real-time performance and accurate recognition rate, so it meets the requirements of practicality in driver fatigue detection greatly.

Augmented Reality Navigation System on Android

2016 ◽  
Vol 6 (1) ◽  
pp. 406
Author(s):  
Chee Oh Chung ◽  
Yilun He ◽  
Hoe Kyung Jung
Keyword(s):  
Augmented Reality ◽  
Smart Phone ◽  
Smart Phones ◽  
Location Information ◽  
Navigation Systems ◽  
Digital Information ◽  
Basic Information ◽  
Design And Implementation ◽  
Current Location ◽  
Android System

With the advent of the Android system, smart phones are rapidly developing and through the conveniency of accessing internet on the smart phones, a user’s location information can be accessed anywhere and anytime easily. Augmented Reality Based Technology enables the provision of variety information such as pictures and location of buildings in the navigation field. Most of the augmented reality program used to Visual Trace Method (Marker method and Markerless Method). For the Visual Trace Method, the marker installation and digital information should be assigned while the Non-visual Trace Method requires the use of hardware (G.P.S, sensors etc). Most navigation systems can only show the path from a user’s current location to their destination. In this paper, the design and implementation of an augmented reality program is discussed. It will use the smart phone’s inbuilt camera and GPS to display a user’s surround information in real time on the smart phone. The proposed system will combine the G.P.S location-based technology and virtual trace technology to provide the user with basic information about a building they are looking for or one in their immediate surrounding.

scholarly journals A NOVEL APPROACH TO CAMERA CALIBRATION METHOD FOR SMART PHONES UNDER ROAD ENVIRONMENT

2016 ◽  
Vol XLI-B5 ◽  
pp. 49-54 ◽  
Author(s):  
Bijun Lee ◽  
Jian Zhou ◽  
Maosheng Ye ◽  
Yuan Guo
Keyword(s):  
Camera Calibration ◽  
Smart Phone ◽  
Warning System ◽  
Image Data ◽  
Calibration Method ◽  
Smart Phones ◽  
Driver Assistance Systems ◽  
The Road ◽  
Novel Approach ◽  
On The Road

Monocular vision-based lane departure warning system has been increasingly used in advanced driver assistance systems (ADAS). By the use of the lane mark detection and identification, we proposed an automatic and efficient camera calibration method for smart phones. At first, we can detect the lane marker feature in a perspective space and calculate edges of lane markers in image sequences. Second, because of the width of lane marker and road lane is fixed under the standard structural road environment, we can automatically build a transformation matrix between perspective space and 3D space and get a local map in vehicle coordinate system. In order to verify the validity of this method, we installed a smart phone in the ‘Tuzhi’ self-driving car of Wuhan University and recorded more than 100km image data on the road in Wuhan. According to the result, we can calculate the positions of lane markers which are accurate enough for the self-driving car to run smoothly on the road.

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

Real AdaBoost face detection method based on multi-threshold

2009 ◽  
Vol 29 (8) ◽  
pp. 2098-2100
Author(s):  
Shi-ming SUN ◽  
Qing PAN ◽  
You-fang JI
Keyword(s):  
Face Detection ◽  
Detection Method ◽  
Real Adaboost
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