Utilizing Simultaneous Localization and Mapping (SLAM) in Augmented-Reality Shell Game for iOS

Authors

  • Andrei Lorenz V. Herrera
  • Paul Dominic I. Tecson
  • Josephine T. Eduardo
  • Maryli F. Rosas
  • Rolando B. Barrameda

Abstract

Augmented Reality (AR) are now integrated for productivity and quality improvements.  Hence, this study aims on the improvements of mental training through AR using SLAM algorithm.  The authors developed an augmented reality game where the application of skills and user interactions are monitored. This enhances cognitive development and training of users apart from having an immersive feeling that provides exciting, entertaining and engaging experience. A new AR tool was adopted by this study.  In an AR implementation, integrating the ARKIT tool would remove the need of creating marker-based application. iOS mobile phone can adapt in the ARKIT tool by simply using visual sensors of the camera.   This uncovers innovation of SLAM algorithm in the improvement of user experience on games. Through detailed analysis of the data, we found that 25 gamers and 25 non-gamers students were able to synchronize their actions and engage in both virtual and physical world during the visual evaluation process. Respondents who tested the game, non-gamer and gamers alike, commented mostly about the ARKit game that grant more entertainment as compared with others. In the end, ARKit framework displayed the proficiencies and bounds of SLAM algorithms when implemented in an augmented reality game for iOS; and at the same time, the shell game, incorporated by the power of AR, provided challenge on the memory and spatial skills of the participants.

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Published

2019-12-24

Issue

Section

Articles