Mathematics learning instrument using augmented reality for learning 3D geometry

Auliya, Risma Nurul; Munasiah, Muna

doi:10.1088/1742-6596/1318/1/012069

Cited by 18 publications

(8 citation statements)

References 6 publications

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“…Unity3D engine and Vuforia plugin made the tasks easier using camera tracking [25] although previously tested to a small group of students demands further investigation. QR code based tracking method was an old method in this context still attracts researchers since these are quick and easy to implement [26]. However, with the aspects of language, contents, and design QR based tracking requires further validation.…”

Section: Qualitative Analysis On Methodsmentioning

confidence: 99%

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Vision based 3D Gesture Tracking using Augmented Reality and Virtual Reality for Improved Learning Applications

Mahayuddin¹,

Saif²

2021

IJACSA

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3D gesture recognition and tracking based augmented reality and virtual reality have become a big interest of research because of advanced technology in smartphones. By interacting with 3D objects in augmented reality and virtual reality, users get better understanding of the subject matter where there have been requirements of customized hardware support and overall experimental performance needs to be satisfactory. This research investigates currently various vision based 3D gestural architectures for augmented reality and virtual reality. The core goal of this research is to present analysis on methods, frameworks followed by experimental performance on recognition and tracking of hand gestures and interaction with virtual objects in smartphones. This research categorized experimental evaluation for existing methods in three categories, i.e. hardware requirement, documentation before actual experiment and datasets. These categories are expected to ensure robust validation for practical usage of 3D gesture tracking based on augmented reality and virtual reality. Hardware set up includes types of gloves, fingerprint and types of sensors. Documentation includes classroom setup manuals, questionaries, recordings for improvement and stress test application. Last part of experimental section includes usage of various datasets by existing research. The overall comprehensive illustration of various methods, frameworks and experimental aspects can significantly contribute to 3D gesture recognition and tracking based augmented reality and virtual reality.

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Section: Qualitative Analysis On Methodsmentioning

confidence: 99%

“…In these cases, first step is to choose the target participants, users or students, then making prototypes and improving it further [20] [21] [23] [25] [45]. Testing into small groups first and then to a broader range of participants also brings out better results for research [26].…”

Section: Step Wise Framework Analysismentioning

confidence: 99%

Vision based 3D Gesture Tracking using Augmented Reality and Virtual Reality for Improved Learning Applications

Mahayuddin¹,

Saif²

2021

IJACSA

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“…In the recent years, object tracking based on camera becomes suitable due to updated technology such as Unity3D engine and Vuforia augmented reality plugin (Nazar et al, 2020). QR code based object tracking is also fascinated by research due to quick and user friendly implementation and validation, however, tracking by this plat is considered old now a days (Auliya and Munasiah, 2019) comparing with Unity3D engine and Vuforia augmented reality plugin. Structure from Motion pipeline (SFM), Perspective Geometry and Surface tracking are also considered as another subset of augmented reality (Nakashima et al, 2015;Samini and Palmerius, 2014;Nakashima et al, 2013;.…”

Section: Previous Studymentioning

confidence: 99%

Augmented Reality-Based 3D Human Hands Tracking From Monocular True Images Using Convolutional Neural Network

Saif

Mahayuddin

2022

Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy

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Precise modeling of hand tracking from monocular camera calibration parameters using semantic cues is an active area of research for the researchers due to lack of accuracy and computational overheads. In this context, deep learning-based framework (i.e., convolutional neural network-based human hands tracking in the current camera frame) has become an active research problem. In addition, tracking based on monocular camera needs to be addressed due to updated technology such as Unity3D engine and other related augmented reality plugins. This research aims to track human hands in continuous frame by using the tracked points to draw 3D model of the hands as an overlay. In the proposed methodology, Unity3D environment was used for localizing hand object in augmented reality (AR). Later, convolutional neural network was used to detect hand palm and hand keypoints based on cropped region of interest (ROI). The proposed method achieved accuracy rate of 99.2% where single monocular true images were used for tracking. Experimental validation shows the efficiency of the proposed methodology.

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“…However, most of the applications discussed do not deal with vector geometry, but with other various mathematical topics. Six of such articles/applications were examined [32][33][34][35][36][37], and their main characteristics and findings regrouped in Table 1. All are fairly recent and were done in different countries, which shows the rising popularity of this topic worldwide.…”

Section: An Overview Of Augmented Reality Applications In Teaching Mathematicsmentioning

confidence: 99%

“…For the registration process of the virtual objects and the tracking of the marker, the AR software development kit Vuforia [35] was used. The application is implemented as a mobile application and is available to download for android devices (cleARmaths can be downloaded from the Google Play Store [36] or on the cleARmaths website [39]).…”

Section: Technical Realizationmentioning

confidence: 99%

On the Potential of Augmented Reality for Mathematics Teaching with the Application cleARmaths

Schutera

Schnierle²,

Wu³

et al. 2021

Education Sciences

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Learning content in mathematics, such as vector geometry, is still predominantly taught in an abstract manner, as the visualization and interaction of three-dimensional problems are limited with classical forms of teaching such as blackboard lessons or exercise sheets. This research article proposes the use of augmented reality (AR) in mathematics education. The proposed approach aims at easing the learning process related to vector geometry currently taught in senior mathematics classes by using intuitive visualization. The article introduces the concept of AR and presents the didactic foundations and the influence on the learning process based on an extensive literature review. Although studies see great potential in the use of AR for teaching mathematics, the method has so far hardly been used in schools. This can be mainly explained by the technological entry barrier of AR and the lack of simple, robust AR applications, in particular for vector geometry. To fill this gap, the authors developed “cleARmaths”, a developed android application for augmented reality-based teaching in vector geometry that allows widespread use. As a didactical concept, some example exercises sessions with the app are proposed, demonstrating how the app could be used in a mathematics classroom. Finally, the app was evaluated in a mathematics class and the results analyzed in a detailed study. It was found by the teacher and students to be beneficial and amusing, demonstrating the potential for AR in mathematics classes.

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Mathematics learning instrument using augmented reality for learning 3D geometry

Cited by 18 publications

References 6 publications

Vision based 3D Gesture Tracking using Augmented Reality and Virtual Reality for Improved Learning Applications

Vision based 3D Gesture Tracking using Augmented Reality and Virtual Reality for Improved Learning Applications

Augmented Reality-Based 3D Human Hands Tracking From Monocular True Images Using Convolutional Neural Network

On the Potential of Augmented Reality for Mathematics Teaching with the Application cleARmaths

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