Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336060
R. Abdulwahhab, Shaqran Shakir Abdulwahab
Using Learning Analytics (LA) in educational institutions is an area that has experienced unprecedented growth over the years. LA is the collection and analysis of electronic data to observe hidden patterns in the learning process. One of the main aims of LA is to help faculty and advisors determine which students might be at risk and who are facing difficulty in their academic career. Drawing upon extant literature, this paper proposes and discusses the development of a new prediction model. The proposed model takes the advantage of the fully electronic characteristics of student data, which include student activity and their marks. Compact Prediction Tree (CPT+) has been described in literature and has proved its efficacy to solve various problems in many different disciplines. In this paper, a new prediction model based on a CPT+ algorithm to predict the next grade for upcoming courses or for the registered course(s), is proposed. To evaluate the performance of the proposed model, dataset in CAS were applied as the test problem set. The method was examined in terms of accuracy and its result was significantly better than other prediction models, namely Dependency Graph (DG) and Prediction by Partial Matching (PMP).
{"title":"Integrating learning analytics to predict student performance behavior","authors":"R. Abdulwahhab, Shaqran Shakir Abdulwahab","doi":"10.1109/ICTA.2017.8336060","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336060","url":null,"abstract":"Using Learning Analytics (LA) in educational institutions is an area that has experienced unprecedented growth over the years. LA is the collection and analysis of electronic data to observe hidden patterns in the learning process. One of the main aims of LA is to help faculty and advisors determine which students might be at risk and who are facing difficulty in their academic career. Drawing upon extant literature, this paper proposes and discusses the development of a new prediction model. The proposed model takes the advantage of the fully electronic characteristics of student data, which include student activity and their marks. Compact Prediction Tree (CPT+) has been described in literature and has proved its efficacy to solve various problems in many different disciplines. In this paper, a new prediction model based on a CPT+ algorithm to predict the next grade for upcoming courses or for the registered course(s), is proposed. To evaluate the performance of the proposed model, dataset in CAS were applied as the test problem set. The method was examined in terms of accuracy and its result was significantly better than other prediction models, namely Dependency Graph (DG) and Prediction by Partial Matching (PMP).","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"213 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114088792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336012
Maryam A. Salih, M. A. Salih, H. Jamal, Ali Hussain
Motion detection is a technique primarily used for detecting moving objects within a scene. In the recent years, it has been highly applied in surveillance systems. This paper proposes the use of motion detection techniques for implementing an easy-to-use and secure surveillance system. The proposed system is based on real-time motion detection through the use of an IP camera to monitor movement in a small room. When any motion is present, the system will send an alert to the observer. To perform the motion detection, the system combines frame deference techniques with motion detector sensors directed by an Arduino microcontroller.
{"title":"Hybrid module for low-cost surveillance system","authors":"Maryam A. Salih, M. A. Salih, H. Jamal, Ali Hussain","doi":"10.1109/ICTA.2017.8336012","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336012","url":null,"abstract":"Motion detection is a technique primarily used for detecting moving objects within a scene. In the recent years, it has been highly applied in surveillance systems. This paper proposes the use of motion detection techniques for implementing an easy-to-use and secure surveillance system. The proposed system is based on real-time motion detection through the use of an IP camera to monitor movement in a small room. When any motion is present, the system will send an alert to the observer. To perform the motion detection, the system combines frame deference techniques with motion detector sensors directed by an Arduino microcontroller.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116872801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336022
Amar Ibrahim E. Sharaf Eldein, H. Ammar, Dale G. Dzielski
The role of Information and Communication Technology (ICT) for large crowd events in smart cities will continue grow with the growing service demands. An important service is Healthcare's use of smart mobile technologies for patients' profiles. Medical staff in health care organizations can benefit from ICT & Internet of Things (IOT) solutions to access and gather data from patient's records. This paper presents enterprise architecture models for "Mobile Healthcare Events System" (MHES). The system supports and delivers quality healthcare information for patients. Enterprise healthcare uses mobile and cloud computing to address the challenges that face the enterprise health care system architecture. These models combine the technologies of mobile cloud health information and analysis and describe their development for enterprise solutions. They provide services for online access to health records for specific patients and support medical procedures that diagnose the patients crowded in large events such religious or sporting events that last for several weeks. Using mobile devices and cloud technologies the proposed system will evolve and transform traditional health care processes utilizing a mobile device to provide a public event health service. In addition, the system supports medical health care staff and professionals for better patient diagnosis, checking patient history records, and collaborating with other enterprises such as the patient's physician offices, Emergency Medical Services (EMS) and the World Health Organizations.
{"title":"Enterprise architecture of mobile healthcare for large crowd events","authors":"Amar Ibrahim E. Sharaf Eldein, H. Ammar, Dale G. Dzielski","doi":"10.1109/ICTA.2017.8336022","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336022","url":null,"abstract":"The role of Information and Communication Technology (ICT) for large crowd events in smart cities will continue grow with the growing service demands. An important service is Healthcare's use of smart mobile technologies for patients' profiles. Medical staff in health care organizations can benefit from ICT & Internet of Things (IOT) solutions to access and gather data from patient's records. This paper presents enterprise architecture models for \"Mobile Healthcare Events System\" (MHES). The system supports and delivers quality healthcare information for patients. Enterprise healthcare uses mobile and cloud computing to address the challenges that face the enterprise health care system architecture. These models combine the technologies of mobile cloud health information and analysis and describe their development for enterprise solutions. They provide services for online access to health records for specific patients and support medical procedures that diagnose the patients crowded in large events such religious or sporting events that last for several weeks. Using mobile devices and cloud technologies the proposed system will evolve and transform traditional health care processes utilizing a mobile device to provide a public event health service. In addition, the system supports medical health care staff and professionals for better patient diagnosis, checking patient history records, and collaborating with other enterprises such as the patient's physician offices, Emergency Medical Services (EMS) and the World Health Organizations.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336011
Iman Al-Kindi, Z. Al-Khanjari
The number of students using E-learning in the universities and colleges around the world has been increasing at massive level in the past years as a result of an easy access to higher educational resources via the internet. On the contrary, the number of instructors in most universities is increasing slowly. Because of the lack of employment opportunities in relation to the economic crisis experienced by some countries. As a consequence, instructional problems have appeared because of the lack of unsatisfactory support to students during E-learning procedure. Collaborative Learning (CL) has been recommended as a solution to this problem. This paper provides a new horizon of E-learning for collaborative learning using Massive Open Online Course (MOOC) concepts and cloud computing to solve this problem. Modes of learning have been proposed with case studies in Sultan Qaboos University (SQU) to demonstrate the effectiveness of the proposed modes.
{"title":"Collaborative learning: A new horizon for E-learning in Sultan Qaboos University using concepts of MOOC and cloud computing","authors":"Iman Al-Kindi, Z. Al-Khanjari","doi":"10.1109/ICTA.2017.8336011","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336011","url":null,"abstract":"The number of students using E-learning in the universities and colleges around the world has been increasing at massive level in the past years as a result of an easy access to higher educational resources via the internet. On the contrary, the number of instructors in most universities is increasing slowly. Because of the lack of employment opportunities in relation to the economic crisis experienced by some countries. As a consequence, instructional problems have appeared because of the lack of unsatisfactory support to students during E-learning procedure. Collaborative Learning (CL) has been recommended as a solution to this problem. This paper provides a new horizon of E-learning for collaborative learning using Massive Open Online Course (MOOC) concepts and cloud computing to solve this problem. Modes of learning have been proposed with case studies in Sultan Qaboos University (SQU) to demonstrate the effectiveness of the proposed modes.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132072276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336058
M. Masud, Muhsin Cheratta, Abdel Rahman Al Harahsheh
Intensive care unit (ICU) patients are closely monitored by vital signs and other continuous and discrete measures (e.g. lab test). It has been established in prior research that it is possible to predict probability of survival (or death) of an ICU patient ahead of time using vital signs, which allows caregivers extra time and measures to save the patient's life. In this work we are focusing on predicting the survival of ICU patients using lab test results. We have identified several challenges associated with this task, and propose an efficient and scalable data driven solution. Specifically, we propose two complementing techniques for feature reduction and selection. The first one is a knowledge intensive patient grouping scheme, which helps in forming homogeneous groups of data. The second technique uses multiple criteria for selecting the best features from a dataset based on the feature coverage, individual predictive ability as well as inter-dependency among features. We combine these two techniques into a unified framework that strengthens the individual contribution of each technique. We have evaluated our proposed technique on a real ICU patients database and achieved notable success in reducing 89% or more of the feature vector, while improving the prediction accuracy upto 6% and achiving upto 7 times speedup.
{"title":"Survival prediction of ICU patients using knowledge intensive data grouping and selection","authors":"M. Masud, Muhsin Cheratta, Abdel Rahman Al Harahsheh","doi":"10.1109/ICTA.2017.8336058","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336058","url":null,"abstract":"Intensive care unit (ICU) patients are closely monitored by vital signs and other continuous and discrete measures (e.g. lab test). It has been established in prior research that it is possible to predict probability of survival (or death) of an ICU patient ahead of time using vital signs, which allows caregivers extra time and measures to save the patient's life. In this work we are focusing on predicting the survival of ICU patients using lab test results. We have identified several challenges associated with this task, and propose an efficient and scalable data driven solution. Specifically, we propose two complementing techniques for feature reduction and selection. The first one is a knowledge intensive patient grouping scheme, which helps in forming homogeneous groups of data. The second technique uses multiple criteria for selecting the best features from a dataset based on the feature coverage, individual predictive ability as well as inter-dependency among features. We combine these two techniques into a unified framework that strengthens the individual contribution of each technique. We have evaluated our proposed technique on a real ICU patients database and achieved notable success in reducing 89% or more of the feature vector, while improving the prediction accuracy upto 6% and achiving upto 7 times speedup.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114596223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336016
Kan C. W. Russ
A study conducted by the Department of Statistics revealed that 29,000 elderly people have registered for Visually Impaired Card in 2014, which was 51.2% of all visually impaired people. With annual growth rate of 1.56%, this number increased yearly by 1,100 people. According to the World Health Organization, 285 million people worldwide were estimated to be visually impaired, which is 4.24% of overall population in 2012. From an age distribution point of view, most visually impaired people, accounted for 2.76% of overall population, were above the age of 50. On average, there are 7 visually impaired people for every 100 people above 50 years old. In Taiwan, 549,000 people over age 50 are estimated to be visually impaired. The following statistics, calculated from the Ministry of Health and Welfare, shows the ratio of visually-disabled people to the total population of disabled users in Taiwan. Trend 1 uses a denominator equal to the total population of people with disabilities from the year prior whereas Trend 2 uses a denominator equal to the total population of disabled people in 2011 (Paasche and Laspeyres indices). We begin our data with year 2012 because the Ministry redefined classifications for certain disabilities, adding a new category called "unclassifiable" that may include people with visual disabilities. Traditionally, the Ministry follows the ICF (International Classification of Functioning, Disability, and Health) guidelines, but it will occasionally modify its categorization to fit the needs of its people. These two trends provide an estimate of the true ratio of visually-impaired persons to the entire disabled community which falls within these ranges. We conclude that there is a growing number of visually-impaired individuals, indicating a real need for society to address the problems that this population endures. leisure activities via a questionnaire survey. Furthermore, descriptive video service is used to as an accessible long-term care application for visually impaired senior users to solve disability circumstances and improve home care quality through visually impaired APP Proof-of-Concept (POC). The result of this research will serve as an important basis for other researches in related study-fields and as a reference for practical application. Moreover, this research serves to encourage profit-seeking enterprises to design user oriented products and to be benchmark for mobile accessibility services for people with disabilities and senior users. Keywords — mobile computing, mobile accessibility, UI design, CareTech, visually impaired users The main purpose of this research is to collect adaptability information on the cognitive model of senior visually impaired people on their work status, social participation status, and leisure activities via a questionnaire survey. Furthermore, descriptive video service is used to as an accessible long-term care application for visually impaired senior users to solve disability circum
{"title":"An assistive mobile application i-AIM app with accessible UI implementation for visually-impaired and aging users","authors":"Kan C. W. Russ","doi":"10.1109/ICTA.2017.8336016","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336016","url":null,"abstract":"A study conducted by the Department of Statistics revealed that 29,000 elderly people have registered for Visually Impaired Card in 2014, which was 51.2% of all visually impaired people. With annual growth rate of 1.56%, this number increased yearly by 1,100 people. According to the World Health Organization, 285 million people worldwide were estimated to be visually impaired, which is 4.24% of overall population in 2012. From an age distribution point of view, most visually impaired people, accounted for 2.76% of overall population, were above the age of 50. On average, there are 7 visually impaired people for every 100 people above 50 years old. In Taiwan, 549,000 people over age 50 are estimated to be visually impaired. The following statistics, calculated from the Ministry of Health and Welfare, shows the ratio of visually-disabled people to the total population of disabled users in Taiwan. Trend 1 uses a denominator equal to the total population of people with disabilities from the year prior whereas Trend 2 uses a denominator equal to the total population of disabled people in 2011 (Paasche and Laspeyres indices). We begin our data with year 2012 because the Ministry redefined classifications for certain disabilities, adding a new category called \"unclassifiable\" that may include people with visual disabilities. Traditionally, the Ministry follows the ICF (International Classification of Functioning, Disability, and Health) guidelines, but it will occasionally modify its categorization to fit the needs of its people. These two trends provide an estimate of the true ratio of visually-impaired persons to the entire disabled community which falls within these ranges. We conclude that there is a growing number of visually-impaired individuals, indicating a real need for society to address the problems that this population endures. leisure activities via a questionnaire survey. Furthermore, descriptive video service is used to as an accessible long-term care application for visually impaired senior users to solve disability circumstances and improve home care quality through visually impaired APP Proof-of-Concept (POC). The result of this research will serve as an important basis for other researches in related study-fields and as a reference for practical application. Moreover, this research serves to encourage profit-seeking enterprises to design user oriented products and to be benchmark for mobile accessibility services for people with disabilities and senior users. Keywords — mobile computing, mobile accessibility, UI design, CareTech, visually impaired users The main purpose of this research is to collect adaptability information on the cognitive model of senior visually impaired people on their work status, social participation status, and leisure activities via a questionnaire survey. Furthermore, descriptive video service is used to as an accessible long-term care application for visually impaired senior users to solve disability circum","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132818117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336064
Armands Ancāns, Artis Rozentals, K. Nesenbergs, M. Greitans
Assistive technology, such as interactive computer applications, has a major role in providing independence to many individuals, but computer interaction using traditional input devices can be challenging for people with disabilities. In this study, a bimodal computer control device is proposed uniting muscle electrical signals and inertial sensor data to provide efficient manual target selection in addition to existing inertial sensor-based solutions for head position tracking and computer cursor control. An embedded system consisting of 9-axis inertial measurement unit and electromyography sensors was proposed and a wireless headband prototype was developed in order to measure system performance and compare it with similar studies. Results show that manual target selection using facial muscle electrical signals instead of automatic dwell time increases the speed of human-computer interaction.
{"title":"Inertial sensors and muscle electrical signals in human-computer interaction","authors":"Armands Ancāns, Artis Rozentals, K. Nesenbergs, M. Greitans","doi":"10.1109/ICTA.2017.8336064","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336064","url":null,"abstract":"Assistive technology, such as interactive computer applications, has a major role in providing independence to many individuals, but computer interaction using traditional input devices can be challenging for people with disabilities. In this study, a bimodal computer control device is proposed uniting muscle electrical signals and inertial sensor data to provide efficient manual target selection in addition to existing inertial sensor-based solutions for head position tracking and computer cursor control. An embedded system consisting of 9-axis inertial measurement unit and electromyography sensors was proposed and a wireless headband prototype was developed in order to measure system performance and compare it with similar studies. Results show that manual target selection using facial muscle electrical signals instead of automatic dwell time increases the speed of human-computer interaction.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"29 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114094577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336063
Mohsen Kanani, Yousif Al-Jabir, Salem Al-Ghanim, O. Halabi
The redirected walking algorithm (RDW) is a locomotion technique that gives the user the perception of walking in larger or infinite virtual environment (VE) within small and limited tracking area. The available approaches which are derived from the original algorithm such as Steer-to-Orbit (S2O) and Steer-to-Center (S2C) proved its effectiveness for certain use cases, however, it requires a very large tracking space. In this paper, we present a new algorithm that can combine the benefits of the both S2O and S2C techniques. The algorithm is based on Hypotrochoid equations which enabled us to generate many redirection paths with unique shapes. We present two new redirection paths with promising results.
{"title":"Enhanced redirected walking algorithm","authors":"Mohsen Kanani, Yousif Al-Jabir, Salem Al-Ghanim, O. Halabi","doi":"10.1109/ICTA.2017.8336063","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336063","url":null,"abstract":"The redirected walking algorithm (RDW) is a locomotion technique that gives the user the perception of walking in larger or infinite virtual environment (VE) within small and limited tracking area. The available approaches which are derived from the original algorithm such as Steer-to-Orbit (S2O) and Steer-to-Center (S2C) proved its effectiveness for certain use cases, however, it requires a very large tracking space. In this paper, we present a new algorithm that can combine the benefits of the both S2O and S2C techniques. The algorithm is based on Hypotrochoid equations which enabled us to generate many redirection paths with unique shapes. We present two new redirection paths with promising results.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116134480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336048
Hanaa Mohsin, S. Abdullah
Exact real-time pupil tracking is an important step in a live eye gaze. Since pupil centre is a base point's reference, exact eye centre localization is essential for many applications, such as face recognition and eye gaze estimation. A new method proposed in this paper is to extract pupil eye features exactly within different intensity levels of eye images, mostly with localization of determined interest objects and where the human is looking. As application area, the eye localization in the frame of a video-sequence has been chosen with continuing in iris and pupil detection. This method is fast and has a high degree of accuracy to determine the eye gaze after the pupil is detected because it depends on the features in the human eye. The intensity increases in the centre of the eye, and these features are extracted using a multistage algorithm. Firstly, the feature-based algorithm detected the location of the face region and will be used to detect the pupil on the face. Secondly, use the pupil to determine where humans are looking. Proposed algorithm experiments results to the faces show that they are not only robust, but also relatively efficient. It has been tested on the Mackup database, which contains 500 images belonging to 108 females from the Asian region with different indoor illuminations. The image from a real-world indoor setting with lenses, and images from the Internet. The experiment results show 99%. This ratio shows very good robustness and accuracy.
{"title":"Pupil detection algorithm based on feature extraction for eye gaze","authors":"Hanaa Mohsin, S. Abdullah","doi":"10.1109/ICTA.2017.8336048","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336048","url":null,"abstract":"Exact real-time pupil tracking is an important step in a live eye gaze. Since pupil centre is a base point's reference, exact eye centre localization is essential for many applications, such as face recognition and eye gaze estimation. A new method proposed in this paper is to extract pupil eye features exactly within different intensity levels of eye images, mostly with localization of determined interest objects and where the human is looking. As application area, the eye localization in the frame of a video-sequence has been chosen with continuing in iris and pupil detection. This method is fast and has a high degree of accuracy to determine the eye gaze after the pupil is detected because it depends on the features in the human eye. The intensity increases in the centre of the eye, and these features are extracted using a multistage algorithm. Firstly, the feature-based algorithm detected the location of the face region and will be used to detect the pupil on the face. Secondly, use the pupil to determine where humans are looking. Proposed algorithm experiments results to the faces show that they are not only robust, but also relatively efficient. It has been tested on the Mackup database, which contains 500 images belonging to 108 females from the Asian region with different indoor illuminations. The image from a real-world indoor setting with lenses, and images from the Internet. The experiment results show 99%. This ratio shows very good robustness and accuracy.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116168994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-12-01DOI: 10.1109/ICTA.2017.8336019
Mouna Denden, A. Tlili, Fathi Essalmi, M. Jemni
While various studies have investigated the effects of gamification on learning, less concern is paid to investigate the effects of learners' differences on perception of gamification. Therefore, this study investigates the effects of age, gender and gaming frequency differences on the learners' perception of gamification and game elements. In this context, a gamified online Moodle Learning Management System (LMS) was developed where eighty three learners, from a public university in Tunisia, used it to learn "Object Oriented Design Methodology" and "Basic software" courses. The findings showed that gender and gaming frequency do not affect the perception of gamification but they do affect the perception of using game elements. These findings can be exploited by researchers, educators and practitioners to provide personalized and gamified learning experiences.
{"title":"An investigation of the factors affecting the perception of gamification and game elements","authors":"Mouna Denden, A. Tlili, Fathi Essalmi, M. Jemni","doi":"10.1109/ICTA.2017.8336019","DOIUrl":"https://doi.org/10.1109/ICTA.2017.8336019","url":null,"abstract":"While various studies have investigated the effects of gamification on learning, less concern is paid to investigate the effects of learners' differences on perception of gamification. Therefore, this study investigates the effects of age, gender and gaming frequency differences on the learners' perception of gamification and game elements. In this context, a gamified online Moodle Learning Management System (LMS) was developed where eighty three learners, from a public university in Tunisia, used it to learn \"Object Oriented Design Methodology\" and \"Basic software\" courses. The findings showed that gender and gaming frequency do not affect the perception of gamification but they do affect the perception of using game elements. These findings can be exploited by researchers, educators and practitioners to provide personalized and gamified learning experiences.","PeriodicalId":129665,"journal":{"name":"2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"441 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131633216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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