Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Manuel Casimiro & Coutinho, C. (2025). Integrating Unity into IoT solutions. In Procedia Computer Science. (pp. 522-529).: Elsevier BV.
Exportar Referência (IEEE) 
M. Casimiro and C. E. Coutinho,  "Integrating Unity into IoT solutions", in Procedia Computer Science, Elsevier BV, 2025, vol. 263, pp. 522-529
Exportar BibTeX 
@inproceedings{casimiro2025_1773861719932,
	author = "Manuel Casimiro and Coutinho, C.",
	title = "Integrating Unity into IoT solutions",
	booktitle = "Procedia Computer Science",
	year = "2025",
	editor = "",
	volume = "263",
	number = "",
	series = "",
	doi = "10.1016/j.procs.2025.07.063",
	pages = "522-529",
	publisher = "Elsevier BV",
	address = "",
	organization = ""
}
Exportar RIS 
TY  - CPAPER
TI  - Integrating Unity into IoT solutions
T2  - Procedia Computer Science
VL  - 263
AU  - Manuel Casimiro
AU  - Coutinho, C.
PY  - 2025
SP  - 522-529
SN  - 1877-0509
DO  - 10.1016/j.procs.2025.07.063
AB  - This paper investigates the integration of Unity with Internet of Things (IoT) technologies to enhance data visualization and
interaction capabilities. Unity, renowned for its capabilities in game development, presents untapped potential within the IoT
landscape, particularly in 3D modeling, augmented reality (AR), and virtual reality (VR), which can revolutionize end-user
applications. This paper begins with a comprehensive literature review exploring Unity's integration with sensors within the recent
years. It proceeds with a detailed technology stack and architecture proposal tailored specifically to a Unity-powered mobile
application. The findings underscore the feasibility and effectiveness of Unity's integration into IoT frameworks, promising
enhanced user experiences. Future research directions are also explored and look to further explore and optimize this integration,
aiming to bridge the gap between cost-effective IoT solutions and groundbreaking data visualization techniques using sensor data.
ER  -