{"title":"Markerless Indoor/Outdoor Augmented Reality Navigation Device Based on ORB-Visual-Odometry Positioning Estimation and Wall-Floor-Boundary Image Registration","authors":"Chian C. Ho, Ming-Che Ho, Chuan-Yu Chang","doi":"10.1109/Ubi-Media.2019.00046","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00046","url":null,"abstract":"For markerless indoor/outdoor Augmented Reality Navigation (ARN) technology, camera pose is inevitably the fundamental argument of positioning estimation and pose estimation, and floor plane is indispensably the fiducial target of image registration. This paper proposes ORB-visual-odometry positioning estimation and wall-floor-boundary image registration to make ARN more precise, reliable, and instantaneous. Experimental results show both ORB-visual-odometry positioning estimation and wall-floor-boundary image registration have higher accuracy and less latency than conventional well-known positioning estimation and image registration methods for ARN. On the other hand, these proposed two methods are seamlessly implemented on the handheld Android embedded platform and are smoothly verified to work well on the handheld indoor/outdoor augmented reality navigation device.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115246415","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}
{"title":"What Motivates Learners' Intention to Use Blackboard Mobile Learning (BML)?: Evidence from Thailand","authors":"Nattaporn Thongsri, Yukun Bao","doi":"10.1109/Ubi-Media.2019.00069","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00069","url":null,"abstract":"this research focuses on the factors motivate learners' intention to use blackboard mobile learning. The research objective is to investigate the main factors in terms of usefulness learning and individual characteristics in order to investigate the factors that affect blackboard mobile learning acceptance among university students in Thailand. Based on the quantitative research method this study obtained behavior intention score from undergraduate students in Thailand. The Partial Least Squares method, a statistical analysis technique based on the Structural Equation Model (SEM), was used to analyse the data. The results of 314 undergraduate students were found that mobile self-efficacy had the significant effect on perceived ease of use of blackboard mobile learning while convenience had the significant effect on perceived usefulness of blackboard mobile learning. In addition, the main variable from the technology acceptance model namely perceived ease of use and perceived usefulness had positively related to user intention to blackboard mobile learning.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121901211","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}
Rui Xu, Zhenjiang Zhang, Bo Shen, Yanran Zeng, Chenyang Dai
{"title":"Security Storage Based on Fountain Code and XOR Encryption in Edge Computing","authors":"Rui Xu, Zhenjiang Zhang, Bo Shen, Yanran Zeng, Chenyang Dai","doi":"10.1109/Ubi-Media.2019.00011","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00011","url":null,"abstract":"Edge computing has obvious advantages in heterogeneity, low latency and dense network access. Meanwhile, edge device has complex structure and weak storage capacity. A lot of security threats still exist in the process of storing sensitive data. This paper proposes a method of combining fountain code and XOR encryption to the data storage in edge devices. First, the source file is encrypted by XOR encryption. Then we divide the ciphertext into multiple ciphertext data blocks. After encoding ciphertext data blocks, we mix them with coding blocks and distribute them on multiple edge devices. When we receive enough data blocks, we can recover the source file. The combination of XOR encryption and fountain code improves reliability and security of storage.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129770579","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}
Wasura D. Wattearachchi, E. Hettiarachchi, K. Hewagamage
{"title":"Critical Success Factors of Analysing User Emotions to Improve the Usability of Systems","authors":"Wasura D. Wattearachchi, E. Hettiarachchi, K. Hewagamage","doi":"10.1109/Ubi-Media.2019.00026","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00026","url":null,"abstract":"Emotions of a person depend on several factors like personality, relationships, mental health, and among them, context also plays a major role. The acceptability and usability of a system can be enhanced when the user emotions are considered based on the context. Most of the past research has been carried out related to the detection of emotions using facial expressions, gaze direction, heart rate analysis, Electroencephalogram (EEG) signals, text analytics, and keystroke dynamics along with mouse movements. This paper is a literature review which summarizes the previous research work in order to identify the critical success factors of the existing approaches when detecting user emotions through facial expressions and text data along with the context. Finally, as a conclusion, considering the advantages and drawbacks of the existing applications, the novel approaches that need to be followed to analyse user emotions to improve the usability of systems are proposed.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"380 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123506017","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}
R. Shadiev, Narzikul Shadiev, Bakhora Shadieva, M. Fayziev, B. Reynolds
{"title":"Comparing Effects of STR Versus SELT on Cognitive Load","authors":"R. Shadiev, Narzikul Shadiev, Bakhora Shadieva, M. Fayziev, B. Reynolds","doi":"10.1109/Ubi-Media.2019.00062","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00062","url":null,"abstract":"We applied STR, i.e. speech-to-text recognition, and SELT, i.e. speech-enabled language translation, technologies to lectures which were in English as Media of Instruction (EMI) to help students manage their cognitive load effectively. The goal was to compare how these two technologies help achieve this important task. To this end, two groups of students were recruited to attend two lectures (one at the intermediate and the other at the advanced level). STR-texts were shown to a control group while SELT-texts were shown to an experimental group. We compared the cognitive load of the students in both groups after each lecture. Our findings revealed that between-group difference in cognitive load was not significant; however, if student language ability was considered, a significant between-group difference existed during the advanced level lecture. We draw implications for researchers and teachers following these results.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889056","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}
Hong-Nien Chen, Chuan-Feng Chiu, T. Shih, Chi-Yen Lin, Fitri Utaminingrum, Lin Hui
{"title":"The Design of Real-Time Digital Clothing Projection System","authors":"Hong-Nien Chen, Chuan-Feng Chiu, T. Shih, Chi-Yen Lin, Fitri Utaminingrum, Lin Hui","doi":"10.1109/Ubi-Media.2019.00028","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00028","url":null,"abstract":"The variety and richness of clothing is an important thing for the brilliance and fluency of the performance. However, if we need to change our clothes for every show, changing clothes during the performance and even carrying clothes are both problems. To improve these problems and increase performance variability. In this paper, we propose a method for users to project virtual clothing on themselves using a computer with a projector. Kinect will capture the user's body and bones as well as each location and direction. The implementation the three steps method of a fast and efficient space coordinate transforming from camera coordinates to a real-world three-dimensional space coordinate to project and control virtual clothing in real time. Users can choose different costumes in our system. Anyone can easily wear virtual costumes during the show.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124633110","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}
Rangana Jayashanka, K. Hewagamage, E. Hettiarachchi
{"title":"An Intelligent Interactive Visualizer to Improve Blended Learning in Higher Education","authors":"Rangana Jayashanka, K. Hewagamage, E. Hettiarachchi","doi":"10.1109/Ubi-Media.2019.00022","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00022","url":null,"abstract":"Universities tend to design, create and evaluate new learning activities to enhance the learning environment for both students and teachers. Furthermore, higher educational institutes are finding solutions to create more personalized learning environments. There is an opportunity to improve the learning environment by applying Learning Analytics to educational data generated by learners interacting with Virtual Learning Environments (VLEs) and other digital learning tools. More personalized learning environments can be implemented by applying Learning Analytics on Learning Designs. Students' learning progress can be captured through Learning Dashboards in real-time by applying Learning Analytics during the course run-time. We can improve Blended Learning through the synergy between Learning Analytics and Learning Design. This paper provides an outline of a research project which aims to link Learning Design with Learning Analytics in order to enhance the learning environments and improve both teachers and student satisfaction. The paper provides the proposed framework of a Digital Learning Tool (Intelligent Interactive Visualizer) and sets out the program of research and development. The expected outcomes of the research project also discussed.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129547611","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}
Ahmad Wali Satria Bahari Johan Satria, Fitri Fitri, Timothy Timothy
{"title":"Stairs Descent Identification for Smart Wheelchair by Using GLCM and Learning Vector Quantization","authors":"Ahmad Wali Satria Bahari Johan Satria, Fitri Fitri, Timothy Timothy","doi":"10.1109/Ubi-Media.2019.00021","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00021","url":null,"abstract":"The smart wheelchair helps the activities of someone who has a physical disability. The smart wheelchair has several capabilities, one of these capabilities is detecting obstacles in the form of stairs descent. Where if they are not aware of the stairs descent, they can fall, it will be an effect injuring. Therefore this study aims to create a system that is able to detect stairs descent based on digital image and provide notifications. The system was built using the Gray Level Co-occurrence Matrix method as feature extraction and Learning Vector Quantization to classify the stairs descent based on the digital image. From the results of the tests that have been carried out using 200 training data and 40 test data obtained an accuracy rate of 92.5 The faster average computation time is 0.02779 (s) for detecting the stairs descent.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125469875","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}
{"title":"A Kinect-Based System for Stroke Rehabilitation","authors":"S. Yeh, Si-Huei Lee, R. Chan, Shuya Chen","doi":"10.1109/Ubi-Media.2019.00045","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00045","url":null,"abstract":"Virtual reality (VR)-based stroke rehabilitation has been shown to be effective in increasing motivation and functional performance in stroke patients. The new motion-sensing technology, Kinect, is cost effective and does not require the patient to wear sensors on the body, which increases freedom of movement. The objective of this study was to use Kinect technology to develop a VR stroke rehabilitation system with unilateral and bilateral tasks for recovering the function of the upper extremity. This study tested the feasibility, therapeutic effectiveness, and user acceptance of this technology. Two participants with various levels of motor severity received 30-minute stroke rehabilitation 3 times per week over 8 weeks (a total 24 training sessions). The Wolf Motor Function Test (WMFT), Test Évaluant la performance des Membres supérieurs des Personnes Âgées (TEMPA), and Fugl-Meyer Assessment of Physical Performance (FMA) were used to collect data before and after rehabilitation, and during a follow-up to detect the changes of functional performance. Questionnaires of user acceptance of the technology were administered. On completion of the rehabilitation program, using the proposed Kinect-based VR training system, WMFT, TEMPA, and FMA results increased for both participants. The technology acceptance questionnaires indicated that participants had strong intentions to continue using the proposed system for rehabilitation. We developed the first Kinect-based stroke rehabilitation for the upper extremity, and demonstrated its feasibility and effectiveness in improving upper extremity function after a stroke. A large-scale study should be conducted to test the effectiveness of the proposed system for stroke rehabilitation.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126528862","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}