Positioning System in Indoor Environment Using Ultrasound Technology

Ilkovičová, Ľubica

doi:10.5593/sgem2016/b22/s09.063

Cited by 1 publication

(1 citation statement)

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“…There are several alternatives to achieve a positioning system indoors such as IMU based, optical-based or radio-based. Field tests with QR codes are sustained on the arguments that is an easy, simple and efficient way to determine the players location [11,12]. In fact, the QR code positioning system is widely used in location-based games as it could be used outdoors or even in combination with GPS to create a better user experience (i.e.…”

Section: Positioning Indoors: Qr Code Based Modelmentioning

confidence: 99%

Simplifying location-based serious game authoring

Manuel

Jose

Martínez‐Ortiz

et al. 2017

Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality

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Pervasive gaming has been a field of exploration for the gaming industry the recent years. With the exceptional success of Pokémon GO and some others such as Ingress users are more than ever ready to experiment with games that are more focused into their actions and their playing contexts. In the serious game industry, the implementation of pervasive games is a very promising way to improve students learning process with a more cohesive and realistic experience. To take advantage of this opportunity we have developed a model for location-based serious games intended to be used along with other game genres such the adventure one. We have implemented this model in the uAdventure (uA) authoring tool, allowing non-experts for the simple creation for location-based adventure games without programming or complex geopositioning knowledge requirements. With uA we address to simplify the creation of gymkhanas, tours or guided visits with the added value of the adventure games. Finally, to improve the quality of the games, we have incorporated learning analytics into the system and tested the platform with a small experiment that showed promising results.

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Section: Positioning Indoors: Qr Code Based Modelmentioning

confidence: 99%