Navigation and Visualization of Knowledge Organization Systems using Virtual Reality Glasses

Gaona, Paulo; Moncunill, David Martin; Gordillo, Kevin; Crespo, Rubén González

doi:10.1109/tla.2016.7555275

Cited by 9 publications

(3 citation statements)

References 16 publications

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“…In addition to the zoos' self-motivated digitization efforts, this topic is also subject of various researches. In addition to the tracking and identification of animals [2], there exist approaches: to gamification [5], [20], augmented reality [20], virtual guiding and navigation [21], [22], mobile learning applications [23], [24], [25] and digital content management systems [26]. The corresponding research approaches were evaluated and prepared accordingly for the case study and the application within the workshops.…”

Section: Related Workmentioning

confidence: 99%

“Analyze & Focus Your Intention” as the First Step for Applying the Digital Innovation and Transformation Process in Zoos

Wißotzki

Wichmann

2019

CSIMQ

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In many industrial domains and service sectors, digitalization efforts show first results. New kinds of products and services were introduced, which would not have been possible without end-to-end digitalization of operational processes, continuous collection and evaluation of data about product use and evaluation of customer data or activities. Facing the challenge of customer satisfaction in terms of leisure activities, zoos are in need to modernize their tours and attendances. Therefore, this article describes the application of the Digital Innovation and Transformation Process (DITP) in animal-gardening facilities, as it collects, analyzes and structures information of 19 facilities within the "Landeszooverband Mecklenburg-Vorpommern e.V." and combines them with qualitative studies. The research aims to analyze and focus the companies' intention for the digitization of zoos by using the first phase of the DITP. Possible business concepts, related works and best practices were gathered and are the basis for further research and applications.

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Section: Related Workmentioning

confidence: 99%

“Analyze & Focus Your Intention” as the First Step for Applying the Digital Innovation and Transformation Process in Zoos

Wißotzki

Wichmann

2019

CSIMQ

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“…Furthermore, applications in mobile devices require extensive computational resources to be more intelligent. These applications include wearable medical equipment [2], virtual reality glasses [3], and selfdriving cars [4], etc. However, for computational resources and battery capacity limitations of mobile devices, the development of these emerging services and applications has been restricted.…”

Section: Introductionmentioning

confidence: 99%

Peer-to-Peer Enhanced Task Scheduling for D2D Enabled MEC Network

Xie

Song

2020

IEEE Access

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The low computational capacity of mobile devices has become the main performance bottleneck for emerging computing-intensive and delay-sensitive applications. In this paper, we propose a peer-to-peer (P2P) enhanced task scheduling framework to minimize the average task duration in device-todevice (D2D) enabled mobile edge computing (MEC) network by jointly optimizing the task scheduling decision and the computational resource allocation. Our proposed framework can work in different modes in different application scenarios. In the MEC mode, an iterative algorithm is presented based on alternating optimization technology and sorting algorithm, which can derive a near-optimal solution of the original mixed-integer non-linear programming (MINLP) optimization problem. In the P2P mode, we can reformulate the original problem to a typical one-to-one assignment problem, which is solved by a task scheduling algorithm based on the Hungarian method. In more challenging hybrid mode, we make some simplifications based on reformulation linearization technology. Then, the near-optimal solution is obtained by our proposed scheduling algorithm based on the alternating direction method of multipliers (ADMM) method and difference of convex functions (D.C.) programming. Numerical results show that our proposed framework has shorter average task duration under different scheduling modes compared with the other scheduling schemes. INDEX TERMS software defined network, device-to-device, peer-to-peer, mobile edge computing, task scheduling, resource allocation, minimum task duration.

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“…There are numerous references that have focused on the creation of AR environments in education and their influence on motivation, as well as promoting motor activities; studies such as [6]- [7] present a 3D navigation structure through the use of mobile devices, based on a Knowledge Organization System (KOS) using school subjects about animals, in a population of children between 10 and 12 years, in order to analyze aspects of learning and usability, through a set of questions related to the system; the results show that, in the test carried out, most participants successfully identified the animals, their relationship with the habitat and the category of the animal, according to the classification defined in the KOS. Authors such as [8] propose a virtual environment based on 3D navigation for gestures with two hands, offering control on the speed of navigation, being easy and intuitive; when evaluating the technique with a set of participants, the study finds its feasibility making it easy to learn and use, in addition to reaching high rates of accuracy, performance and prediction speed.…”

Section: Introductionmentioning

confidence: 99%

Image Classification Methods Applied in Immersive Environments for Fine Motor Skills Training in Early Education

Rodríguez¹,

Riaño²,

Gaona-García³

et al. 2019

IJIMAI

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Fine motor skills allow to carry out the execution of crucial tasks in people's daily lives, increasing their independence and self-esteem. Among the alternatives for working these skills, immersive environments are found providing a set of elements arranged to have a haptic experience through gestural control devices. However, generally, these environments do not have a mechanism for evaluation and feedback of the exercise performed, which does not easily identify the objective's fulfillment. For this reason, this study aims to carry out a comparison of image recognition methods such as Convolutional Neural Network (CNN), K-Nearest Neighbor (K-NN), Support Vector Machine (SVM) and Decision Tree (DT), for the purpose of performing an evaluation and feedback of exercises. The assessment of the techniques is carried out using images captured from an immersive environment, calculating metrics such as confusion matrix, cross validation and classification report. As a result of this process, it was obtained that the CNN model has a better supported performance in 82.5% accuracy, showing an increase of 23.5% compared to SVM, 30% compared to K-NN and 25% compared to DT. Finally, it is concluded that in order to implement a method of evaluation and feedback in an immersive environment for academic training in the first school years, a low margin of error must be taken in the percentage of successes of the image recognition technique implemented, to ensure the proper development of these skills considering their great importance in childhood.

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Navigation and Visualization of Knowledge Organization Systems using Virtual Reality Glasses

Cited by 9 publications

References 16 publications

“Analyze & Focus Your Intention” as the First Step for Applying the Digital Innovation and Transformation Process in Zoos

“Analyze & Focus Your Intention” as the First Step for Applying the Digital Innovation and Transformation Process in Zoos

Peer-to-Peer Enhanced Task Scheduling for D2D Enabled MEC Network

Image Classification Methods Applied in Immersive Environments for Fine Motor Skills Training in Early Education

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