ResearchActivity recognition & augmented reality

Augmented Reality

Mobile augmented reality and computer vision for indoor navigation, accessibility, exergames and healthcare education.

Augmented Reality

Augmented reality overlays digital information on the physical world through the camera of an ordinary smartphone. We develop mobile AR applications that combine computer vision, edge computing and machine learning to guide, train and engage people where they are.

Our work includes the UNIPI AR Experience app for indoor localisation and navigation on the university campus, SLAM-based obstacle detection and hybrid cloud–edge platforms that improve accessibility, gamified crowd management, and AR exergames that assess physical and cognitive activity. In healthcare, we use AR for pharmacy education and for visualising dermatological images on mobile devices.

  • Indoor localisation and navigation
  • AR exergames and IoT health services
  • AR for medical education and visualisation

Related publications

Selected work from the lab in this area.

2026

On the Mobile Augmented Reality Visualization of Dermatological Imagery

Koulouris, D. and Maglogiannis, I. (2026)

In Engineering Applications of Neural Networks. Springer Nature Switzerland, pp. 324–337.

DOI

2025

On the Utilization of SLAM for Obstacle Detection in Commodity Mobile Devices

Koulouris, D., Zaras, O., Menychtas, A., Tsanakas, P. and Maglogiannis, I. (2025)

IEEE Open Journal on Immersive Displays.

2024

Gamified Crowd Management Utilizing AR and Computer Vision on the Edge

Koulouris, D., Menychtas, A. and Maglogiannis, I. (2024)

In Artificial Intelligence Applications and Innovations. Springer Nature Switzerland, pp. 14–26.

DOI

2024

Continuous Machine Learning for Assisting AR Indoor Navigation

Kalathas, D., Koulouris, D., Menychtas, A., Tsanakas, P. and Maglogiannis, I. (2024)

SN Computer Science, 5(7).

DOI

2023

Utilizing AR and Hybrid Cloud-Edge Platforms for Improving Accessibility in Exhibition Areas

Koulouris, D., Trastelis, F., Menychtas, A., Kosmopoulos, D. and Maglogiannis, I. (2023)

In Artificial Intelligence Applications and Innovations. Springer Nature Switzerland, pp. 171–182.

DOI

2023

Augmented Reality for Indoor Localization and Navigation: The Case of UNIPI AR Experience

Koulouris, D., Menychtas, A. and Maglogiannis, I. (2023)

In Computer Analysis of Images and Patterns. Springer Nature Switzerland, pp. 233–243.

DOI

2022

Integrating AR and IoT Services into mHealth Applications for Promoting Wellbeing

Koulouris, D., Pardos, A., Gallos, P., Menychtas, A. and Maglogiannis, I. (2022)

In 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, pp. 148–153.

DOI

2022

Exploiting Augmented Reality and Computer Vision for Healthcare Education: The Case of Pharmaceutical Substances Visualization and Information Retrieval

Koulouris, D., Gallos, P., Menychtas, A. and Maglogiannis, I. (2022)

In Digital Professionalism in Health and Care: Developing the Workforce, Building the Future. IOS Press.

DOI

2022

An IoT-Enabled Platform for the Assessment of Physical and Mental Activities Utilizing Augmented Reality Exergaming

Koulouris, D., Menychtas, A. and Maglogiannis, I. (2022)

Sensors, 22(9), p. 3181.

DOI

2021

On the development of augmented reality based exergames for assessing human activity and cognition on mobile devices

Koulouris, D., Menychtas, A. and Maglogiannis, I. (2021)

In Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference. ACM, pp. 521–526.

DOI
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Computational Biomedicine Lab
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