Adaptive Animation of Human Motion for E-Learning Applications

2011 ◽  
pp. 134-144
Author(s):  
Frederick W.B. Li ◽  
Rynson W.H. Lau ◽  
Taku Komura ◽  
Meng Wang ◽  
Becky Siu
Keyword(s):  
Human Motion ◽  
Learning System ◽  
The Internet ◽  
Motion Information ◽  
User Interest ◽  
Motion Data ◽  
Network Bandwidth ◽  
Levels Of Detail ◽  
E Learning ◽  
Human Motions

Human motion animation has been one of the major research topics in the field of computer graphics for decades. Techniques developed in this area help present human motions in various applications. This is crucial for enhancing the realism as well as promoting the user interest in the applications. To carry this merit to e-learning applications, we have developed efficient techniques for delivering human motion information over the Internet to collaborating e-learning users and revealing the motion information in the client machines with different rendering capability. Our method offers a mechanism to extract human motion data at various levels of detail (LoD). We also propose a set of importance factors to allow an e-learning system to determine the LoD of the human motion for rendering as well as transmission, according to the importance of the motion and the available network bandwidth. At the end of the paper, we demonstrate the effectiveness of the new method with some experimental results.

PEMBELAJARAN E-LEARNING

2019 ◽  
Vol 2 ◽  
Author(s):  
Nuke Lulu Ul Chusna
Keyword(s):  
Subject Matter ◽  
Technological Progress ◽  
Learning Culture ◽  
Learning System ◽  
Internet Technology ◽  
The Internet ◽  
Digital Format ◽  
E Learning ◽  
Context Of Learning ◽  
Present Subject

The internet can be used as a way to transfer knowledge from teachers to students. Learning that utilizes the development of technology and information, namely the internet, one of which is the e-learning learning system. E-learning is a form of conventional learning that is transferred in digital format through internet technology, not only to present subject matter on the internet but also must be in accordance with the principles of learning.The e-learning learning model results in changes in learning culture in the context of learning. Learning becomes very flexible, because it can be adjusted to the availability of time from students in learning the material provided by the teacher.The teacher determines the success of students in learning, therefore teachers are required to have the ability to adapt to technological progress. Keywords: ICT,e-learning, e-learning learning

Preservation and Reproduction of Human Motion Based on a Motion-Copying System

2012 ◽  
pp. 375-384
Author(s):  
Seiichiro Katsura
Keyword(s):  
Skill Acquisition ◽  
Perception And Action ◽  
Human Motion ◽  
Motion Information ◽  
Slave System ◽  
Spatial Coupling ◽  
Novel Method ◽  
Haptic Technology ◽  
Human Motions ◽  
Human Support

In this chapter, a novel method for preserving and reproducing human motion based on haptic technology is described. Haptic technology makes it possible to preserve and reproduce human motion using a paired master and slave system. Because it is possible to preserve motion information based on position trajectory and force input, future human support technology that will facilitate skill acquisition, physical rehabilitation will be developed and will facilitate personal adaptation, tele-communication, et cetera. Once human motions are preserved, it will be possible to process them for various applications. For example, being able to reproduce the speed and trajectory of motion will allow for adjustments that fit the desired function. As a result, the temporal and spatial coupling of perception and action can be attained. This type of physical extension technology based on haptics will be important for the future of human support in society.

Information Security Perspective of a Learning Management System

2013 ◽  
Vol 4 (2) ◽  
pp. 9-18
Author(s):  
Mohd Faiz Hilmi ◽  
Shahrier Pawanchik ◽  
Yanti Mustapha ◽  
Hafizi Muhamad Ali
Keyword(s):  
Information Technology ◽  
Information Security ◽  
Management System ◽  
Learning Management System ◽  
Learning System ◽  
The Internet ◽  
Specific Information ◽  
Learning Context ◽  
E Learning ◽  
Learning Management

The advancement of information technology has changed the education landscape. The process of teaching is no longer the same. Information technology has made e-learning possible and available on a large scale. The main component of an e-learning is a learning management system (LMS). LMS has been widely used and are accessible through the Internet. By connected and accessed to the Internet, LMS are exposed to various threats. Proper understanding of these threats combined with strategy and best practices countermeasures will ensure a safe learning environment. Therefore this study will look into the information security aspect of LMS. There are two main purpose of this study. First, this study provides a review of information security in e-learning environments and explains the important of information security. Confidentiality, integrity and availability are considered to be the primary pillars of information security. In addition to these pillars, the International Information Systems Security Certification Consortium introduced a common body of knowledge (CBK) comprised of ten domains relating to specific information security topics. These domains are the foundation of security practices for those involved in information security. In this article, each of these is explained within an e-learning context. It is recommended that institutions employing e-learning adhere to these domains. By applying the principles and practices associated with each domain, e-learning institutions should be able to provide an e-learning system with high confidentiality, integrity and availability. The second purpose of this study is to understand student perception of an information security perspective of an e-learning management system. To achieve this purpose, a survey was conducted targeted at undergraduate students in a distance learning program. 497 students responded to a survey questionnaires. Apart from demographics information, the survey asked the respondent to rate six statements related to how they perceived security of the learning management system which they are currently using. All six statements are rated using a five point Likert scale anchored at 1 (Not at all) to 5 (Very much). Frequencies analysis was conducted to show the profile of the respondent. Overall, respondent has strong positive perceptions towards security of their LMS. This study provides an overall picture of information security elements of a learning management system. It can serve as an introduction which help LMS administrator to understand the issues and possibilities related to the safety of LMS.

scholarly journals A heuristics for HTTP traffic identification in measuring user dissimilarity

2020 ◽  
Vol 2 (1-4) ◽  
pp. 17-28
Author(s):  
Adeyemi R. Ikuesan ◽  
Mazleena Salleh ◽  
Hein S. Venter ◽  
Shukor Abd Razak ◽  
Steven M. Furnell
Keyword(s):  
User Behavior ◽  
Recall Rate ◽  
Learning System ◽  
The Internet ◽  
Complex Nature ◽  
Web Traffic ◽  
User Identification ◽  
E Learning ◽  
Research Findings ◽  
Unit Of Measurement

AbstractThe prevalence of HTTP web traffic on the Internet has long transcended the layer 7 classification, to layers such as layer 5 of the OSI model stack. This coupled with the integration-diversity of other layers and application layer protocols has made identification of user-initiated HTTP web traffic complex, thus increasing user anonymity on the Internet. This study reveals that, with the current complex nature of Internet and HTTP traffic, browser complexity, dynamic web programming structure, the surge in network delay, and unstable user behavior in network interaction, user-initiated requests can be accurately determined. The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. The algorithm was experimentally tested on a group of users, to ascertain the certainty of identifying user-initiated requests. The result demonstrates that user-initiated HTTP requests can be reliably identified with a recall rate at 0.94 and F-measure at 0.969. Additionally, this study extends the paradigm of user identification based on the intrinsic characteristics of users, exhibited in network traffic. The application of these research findings finds relevance in user identification for insider investigation, e-commerce, and e-learning system as well as in network planning and management. Further, the findings from the study are relevant in web usage mining, where user-initiated action comprises the fundamental unit of measurement.

Swarm-Based Techniques in E-Learning

2011 ◽  
pp. 199-212
Author(s):  
Sergio Gutiérrez ◽  
Abelardo Pardo
Keyword(s):  
Artificial Intelligence ◽  
Swarm Intelligence ◽  
Social Insects ◽  
Learning System ◽  
The Internet ◽  
Artificial Intelligence Technique ◽  
E Learning ◽  
Weak Points ◽  
Intelligence Technique

This chapter provides an overview of the use of swarm-intelligence techniques in the field of e-learning. Swarm intelligence is an artificial intelligence technique inspired by the behavior of social insects. Taking into account that the Internet connects a high number of users with a negligible delay, some of those techniques can be combined with sociology concepts and applied to e-learning. The chapter analyzes several of such applications and exposes their strong and weak points. The authors hope that understanding the concepts used in the applications described in the chapter will not only inform researchers about an emerging trend, but also provide with interesting ideas that can be applied and combined with any e-learning system.

Mobile Agent Assisted E-Learning System

2011 ◽  
pp. 740-746
Author(s):  
Jon T.S. Quah ◽  
Winnie C.H. Leow ◽  
Y. K. Soh
Keyword(s):  
Response Time ◽  
Mobile Agent ◽  
Workforce Training ◽  
Learning System ◽  
The Internet ◽  
Knowledge Based ◽  
Technology Industry ◽  
Education Levels ◽  
E Learning ◽  
Traditional Classroom Teaching

In the past decades, the Internet has evolved so rapidly that it makes the information-technology industry grow extremely fast. Internet-based applications such as e-commerce, e-payment, e-billing, e-learning, and so forth have tremendous influence on society: There is a trend that our society will be reshaped by the Internet. Among these applications, e-learning is one of the killer applications. Currently, the traditional education system faces some challenges that arose from the development of the knowledge-based economy. School enrollment increases with the population growth, education levels also increase for the new economy, and the cost of higher education escalates. On the other hand, in the workforce-training market, as the information economy develops, the demand for skilled workers increases. As the technology keeps changing, the workforce needs continuous training to maintain its productivity level. Hence, both formal school-based education and continuous workforce training have become big business now, and they will be even bigger in the future (Kerrey & Isakson, 2000). A more sophisticated education model is required to take this challenge, and so e-learning came into being. Compared to traditional classroom teaching, e-learning provides one major advantage: It makes the access of information much easier and more convenient. Hence, it makes learning of all kinds, at all levels, anytime, anyplace, at any pace a practical reality (Kolar, 2001). E-learning also gives tremendous cost savings for both instructors and learners; the learning model is shifted from instructor centered to learner centered, which focuses primarily on the needs of learners. The updating of online material is also much easier. Many e-learning systems can develop personalized and interactive applications that allow users to customize their e-learning models to their own pace, and they can truly engage the user in that they involve the simulation of real-world events and sophisticated collaboration with other learners and instructors (Quah & Chen, 2002). In our e-learning system, we incorporated mobile-agent technology to enhance the response time of information retrieval. The purpose of this incorporation is to overcome the bottleneck problem faced by many pure client-server-based systems. Since mobile agents are able to traverse from one information server to another autonomously to search for relevant documents for users, only relevant articles are sent back. This saves bandwidth and enhances the efficiency of the e-learning system. As a result, the turnaround time for user queries or information searches reduces, and the feedback from the user community is positive as the response time is shorter and users find it easier to maintain their trains of thought in their study.

scholarly journals Sistem Informasi Pembelajaran Daring Dengan Metode Learner-Led Learning

2021 ◽  
Vol 8 (2) ◽  
pp. 156
Author(s):  
Herlambang Brawijaya ◽  
Samudi Samudi ◽  
Slamet Widodo
Keyword(s):  
Teaching And Learning ◽  
Modern Technology ◽  
Learning System ◽  
Learning Activities ◽  
The Internet ◽  
Web Based ◽  
Community Activities ◽  
Conventional Teaching ◽  
E Learning ◽  
Interactive Videos

Abstrak: Teknologi modern semakin pesat perkembangannya, sebagai masyarakat kita dapat merasakan hal positif dari perkembangan teknologi modern, salah satunya adalah internet. Memanfaatkan internet dengan hal positif dapat mempermudah kegiatan masyarakat, seperti dalam bidang pendidikan salah satunya adalah kegiatan belajar mengajar. Dengan adanya kegiatan belajar mengajar dapat menambah wawasan dan ilmu pengetahuan bagi masyarakat, akan tetapi terkadang pelajar bahkan pengajar yang melaksanakan kegiatan belajar mengajar tersebut terlalu terkekang oleh waktu dan peraturan yang berlaku pada tempat belajarnya. Hasil permasalahan yang penulis dapatkan pada kegiatan belajar mengajar konvensional adalah diharuskannya meluangkan waktu untuk pergi ke tempat belajar dan juga ditentukan durasi belajar mengajarnya bahkan diadakan peraturan yang terkadang membuat peserta sampai pengajar tidak nyaman dengan peraturan tersebut. Oleh karena itu penulis tertarik untuk menyelesaikan permasalahan tersebut dengan membuat sistem informasi pembelajaran (e-learning) dengan metode learner-led learning berbasis web yang dapat diakses dimanapun dan kapanpun tanpa mengeluarkan biaya dan tidak terkekang oleh waktu. Penelitian ini diharapkan dapat membantu dalam proses belajar mengajar dengan nyaman. Website ini juga menyediakan fasilitas seperti materi yang bersifat video dan artikel yang bertujuan bagi pelajar yang lebih nyaman belajar dengan video interaktif dan juga tersedia fasilitas sertifikat sebagai bukti bahwa pelajar telah berhasil dalam menyelesaikan soal dari materi yang dipelajarinya.   Kata kunci: pelajar, pembelajaran daring, pengajar, sistem pembelajaran, website   Abstract: Modern technology is growing rapidly, as a society we can feel positive things from the development of modern technology, one of which is the internet. Using the internet with positive things can facilitate community activities, such as in the field of education, one of which is teaching and learning activities. With teaching and learning activities, it can add insight and knowledge to the community, but sometimes students and even teachers who carry out teaching and learning activities are too constrained by time and the regulations that apply to the place of study. The results of the problems that the authors get in conventional teaching and learning activities are that they are required to take the time to go to the place of study and also determine the duration of teaching and learning and even make regulations that sometimes make participants until the teacher is not comfortable with these rules. Therefore, the authors are interested in solving these problems by creating a learning information system (e-learning) with a web-based learner-led learning method that can be accessed anywhere and anytime without incurring costs and not being constrained by time. This research is expected to help in the teaching and learning process comfortably. This website also provides facilities such as video materials and articles aimed at making students more comfortable learning with interactive videos and certificate facilities are also available as evidence that students have succeeded in solving problems from the material they have studied.   Keywords: e-learning, learning system, student; teacher, website

scholarly journals Ranking of barriers for the internet of things implementation in the E-learning platform

2021 ◽  
Author(s):  
Vinay Kumar Yadav ◽  
Sanjeev Yadav
Keyword(s):  
Internet Of Things ◽  
Success Factors ◽  
Learning System ◽  
The Internet ◽  
Technological Advancement ◽  
Structural Modelling ◽  
Interpretive Structural Modelling ◽  
Learning Platform ◽  
Modelling Methodology ◽  
E Learning

Abstract Learning through the Web or training via e-learning is rising exponentially and is gradually preferred by conventional ways of education and training. This massive change is directly related to digital computer technological advancement. The transformation driven by innovation in computer technology has enhanced the reach of e-learning and education, making the process of sharing knowledge easy, clear, and efficient. The E-learning system relies on various success factors from several viewpoints, such as framework, organisational alignment, instructor, and student support. This paper aims to identify the critical barriers to the Internet of Thing implementation in e-learning and to establish a relational relationship between identified barriers using the Interpretive Structural Modelling approach. This paper has established some primary barriers that are useful for Internet of Things implementation in E-learning by research scholars and industrial practitioners. For the study of the driving force and dependency power of the E-learning barrier, Interpretive Structural Modelling methodology was used to classify interrelationships between barriers for improved understanding and relationships between these barriers, and Management Cross Impact Multiplications were conducted to estimate the magnitude of these relationships. Applied to classification analysis, which is used for analysing the driving power and dependence power of E-learning barriers.

scholarly journals A Study on the Attitude of Secondary Level Students Towards E-Learning During COVID 19 Pandemic With Reference To Dibrugarh District, Assam

2021 ◽  
Vol 58 (2) ◽  
pp. 394-400
Author(s):  
Swapna Sikha Das
Keyword(s):  
Educational System ◽  
Secondary Level ◽  
Learning System ◽  
The Internet ◽  
Study Objective ◽  
Male And Female ◽  
Knowledge And Skills ◽  
Learning Success ◽  
E Learning ◽  
The Difference

The educational system has come across a kind of revolutionized process after the outbreak of COVID 19 pandemic with the emergence of fully E-learning system. The study objective is to examine the difference between male and female E-learning perspective in relation to their interest,usefulness, ease and comfort during COVID 19 pandemic. For the present study, the quantitative approach has been adopted and responses from 82 students of secondary level from Dibrugarh district are collected through standardized tool .The findings of the study reveal students’ perception towards e-learning which is less satisfactory. Moreover the study have put forwards some recommendations for E-learning Success in the country and enhancing students’ knowledge and skills through the internet.

Development of Proposed Bi-Modal Human Motion Classification System

2014 ◽  
Vol 654 ◽  
pp. 315-320
Author(s):  
Ching Yee Yong ◽  
Rubita Sudirman ◽  
Kim Mey Chew
Keyword(s):  
Human Activities ◽  
Elevation Angle ◽  
Image Data ◽  
Evaluation Process ◽  
Transformation Method ◽  
Human Motion ◽  
Learning System ◽  
Human Motion Analysis ◽  
Wearable Sensor ◽  
Motion Data

The main objective of this study is to discover and investigate greater levels of human motion activities recognition. The study presents four approaches of human motion data processing to recognize the human activities. Data collection process was performed in two ways: wearable sensor based in signal data and vision based in image data. The proposed approaches used to analyze the signal and image data are: wearable sensor using 3-space sensing with angular velocity and elevation angle as moderators, wearable sensor using statistical nine existing and a proposed developed classifiers as classification learning system, vision based using skeletonization with humerus-radius and horizontal-radius as measuring angle and vision based image-signal histogram using 2D-1D transformation method. The principal contributions of this thesis are the development of the human motion analysis methods with validated evaluation process tested on the proposed systems. The proposed systems achieved more than 98 % for signal processing and 97 % for image processing of accuracy on recognizing human activities.

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