@inproceedings{MTMT:36377907,
	title = {Digital twin technology: general application, challenges, and potentials in healthcare},
	url = {https://m2.mtmt.hu/api/publication/36377907},
	author = {Szalka, Panka and Hideg, Attila},
	booktitle = {Proceedings of the Automation and Applied Computer Science Workshop 2025},
	unique-id = {36377907},
	year = {2025},
	pages = {257-266}
}

@CONFERENCE{MTMT:35892426,
	title = {Fine Motor Skill Assessment Using Computer Vision},
	url = {https://m2.mtmt.hu/api/publication/35892426},
	author = {Szalka, Panka and Forstner, Bertalan},
	booktitle = {Proceedings of the International Conference on AI Transformation},
	unique-id = {35892426},
	year = {2024},
	pages = {48}
}

@inproceedings{MTMT:36158460,
	title = {Advancing Indoor Navigation: Integrating Diverse Data Sets with the ICP Algorithm for Enhanced Mapping Precision},
	url = {https://m2.mtmt.hu/api/publication/36158460},
	author = {Szalka, Panka and Attila, Hideg},
	booktitle = {Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24},
	unique-id = {36158460},
	year = {2024}
}

@inproceedings{MTMT:35643916,
	title = {Enhanced Indoor Mapping via Integration of Lidar and HoloLens 2 Data Using Iterative Closest Point Algorithm},
	url = {https://m2.mtmt.hu/api/publication/35643916},
	author = {Szalka, Panka and Hideg, Attila},
	booktitle = {IEEE 22nd International Symposium on Intelligent Systems and Informatics (SISY 2024)},
	doi = {10.1109/SISY62279.2024.10737592},
	unique-id = {35643916},
	abstract = {This study presents an innovative method to improve the accuracy of indoor mapping by deploying and integrating a sensor that transmits two-dimensional data with a three-dimensional mesh created by another device. The Iterative Closest Point algorithm was used to coordinate the different data sets and transform their different coordinate systems into a common indoor map. Prior to this, rigorous image cleaning and matching processes are conducted to ensure the quality of the data used. The effectiveness of this methodology has been validated through multiple tests using a Lidar scanner and a HoloLens 2 Augmented Reality device. This method not only offers potential for enhancing indoor navigation and safety protocols like emergency evacuation but also presents opportunities for advancing asset tracking and other applications. © 2024 IEEE.},
	keywords = {data set; two-dimensional; Mapping; Co-ordinate system; Iterative closest point algorithm; Indoor navigation; Indoor navigation; Indoor positioning systems; innovative method; HoloLens 2; HoloLens 2; LiDAR scanner; LiDAR scanner; Mapping precision; Mapping precision; Data transforms; Iterative closest points algorithms},
	year = {2024},
	pages = {85-90}
}