Intelligent Multimedia Accessibility in Smart Environments Using IoT and Multi-Viewpoints Modeling

Farida Bettou; Bouchra Boulkroun; Abdelhamid Boudjit

doi:10.3991/ijim.v20i11.61393

Authors

Farida Bettou Higher Normal School El Katiba Assia Djebar (ENSC), Constantine, Algeria; Laboratory of Applied Mathematics and Didactics, Constantine, Algeria https://orcid.org/0000-0002-3755-6606
Bouchra Boulkroun National School of Biotechnology Taoufik Khaznadar (ENSB), Constantine, Algeria
Abdelhamid Boudjit Higher Normal School El Katiba Assia Djebar (ENSC), Constantine, Algeria

DOI:

https://doi.org/10.3991/ijim.v20i11.61393

Keywords:

interactive mobile technology, interactive multimedia technique, Internet of Things(IoT), multi-viewpoints ontology, physical disabilities, Intelligent Accessibility, Smart Environments

Abstract

Smart and mobile devices have become essential for all users, including individuals with physical disabilities such as deafness, blindness, or other impairments. This work proposes a novel approach that integrates two key technologies, the Internet of Things (IoT) and MultiViewpoints (MVP), to enhance and personalize the use of smart and mobile devices for people with physical disabilities. This approach enables real-time interaction and dynamic content adaptation. IoT is employed to enhance context-awareness, allowing smart devices to predict the user’s current context and deliver appropriately adapted content. In parallel, the MVP framework supports the development of MVP Ontology, which enables multi-perspective content analysis and personalized adaptation based on user viewpoints. The proposed architecture is designed to be both flexible and intelligent. It ensures a versatile and inclusive multimedia delivery system that can adapt to diverse real-world scenarios through four layers of the architecture. We demonstrate the feasibility and effectiveness of this approach through a practical system optimized for both smart TV and Android platforms. A comparative analysis between mobile devices and smart TVs highlights the unique strengths of each in terms of performance and resource management.

References

[1] A. Saighi, and Z. Laboudi, "A novel self-organizing multi agent-based approach for multimedia documents adaptation," International Conference on Electrical, Communication, and Computer Engineering (ICECCE)(pp.1-6) 2020, IEEE, https://doi.org/10.1109/ICECCE49384.2 020.9179378.

[2] Cavus, N., Mrwebi , S. E., Ibrahim, I., Modupeola, T., & Reeves, A. Y. (2022). Internet of Things and Its Applications to Smart Campus: A Systematic Literature Review. International Journal of Interactive Mobile Technologies (iJIM), 16(23), pp. 17–35. https://doi.org/10.3991/ijim.v16i23.36215

[3] Hijazi, S., Mokal, M. N., Halder, A., Victor, V., & John, G. (2025). AI- and IoT-Driven Mobile Learning Environments: A Framework for Educational Transformation, Workforce Development, and Digital Inclusion. International Journal of Interactive Mobile Technologies (iJIM), 19(24), pp. 4–17. https://doi.org/10.3991/ijim.v19i24.58959

[4] Kitcharoen, P., Howimanporn, S., & Chookaew, S. (2024). Enhancing Teachers’ AI Competencies through Artificial Intelligence of Things Professional Development Training. International Journal of Interactive Mobile Technologies (iJIM), 18(02), pp. 4–15. https://doi.org/10.3991/ijim.v18i02.46613

[5] Ateeq Alanezi, M. (2022). An Efficient Framework for Intelligent Learning Based on Artificial Intelligence and IoT. International Journal of Emerging Technologies in Learning (iJET), 17(07), pp. 112–124. https://doi.org/10.3991/ijet.v17i07.27851

[6] Karanja Evanson Mwangi,Shedden Masupe,Jeffrey Mandu, "modelling malware propagation on the internet of things using an agent based approach on complex networks", Jordanian Journal of Computers and Information Technology (JJCIT) , Volume 06, Number 01, pp. 26 - 40, March 2020, doi: 10.5455/jjcit.71-1568145650.

[7] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, "Internet of Things (IoT): A vision, architectural elements, and future directions," Future generation computer systems, 29(7), 1645-1660, 2013, https://doi.org/10 .1016 /j.future.2013.01.010.

[8] M. Dhanaraju, P. Chenniappan, K. Ramalingam, S. Pazhanivelan, and R. Kaliaperumal, " Smart farming: Internet of Things (IoT)-based sustainable agriculture," Agriculture, 12(10), 1745, 2022, https://doi.org/ 10.339 0 / agriculture12101745.

[9] T. M. N. U. Akhund, N. T. Newaz, Z. Zaman, A. Sultana, A. Barros, and M. Whaiduzzaman, "Iot-based low-cost automated irrigation system for smart farming," In Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 1 (pp. 83-91),2022, Springer Singapore, https://doi.org/10.1007/978-981-16-6309-3_9.

[10] M. N. Ramadan, T. Basmaji, A. Gad, H. Hamdan, B. T. Akgün, M. A. Ali, , ... and M. Ghazal, "Towards early forest fire detection and prevention using AI-powered drones and the IoT," Internet of Things, 27, 2024, 101248. https://doi.org/10.1016/j.iot.2024.101248.

[11] Mohammed, B. G., & Hasan, D. S. (2023). Smart Healthcare Monitoring System Using IoT. International Journal of Interactive Mobile Technologies (iJIM), 17(01), pp. 141–152. https://doi.org/10.3991/ijim.v17i01.34675

[12] M. Hamdani, M. Youcefi, A. Rabehi, B. Nail, and A. Douara, "Design and Implementation of a Medical TeleMonitoring System based on IoT," Engineering, Technology & Applied Science Research, 12, 4, 8949–8953, Aug.2022. https://doi.org/10.48084/etasr.5040.

[13] R. Khatoon, J. Akter, M. Kamruzzaman, R. Rahman, A.F. Tasnim, S.I. Nilima, and T.I. Erdei, "Advancing Healthcare: A Comprehensive Review and Future Outlook of IoT Innovations," Engineering, Technology & Applied Science Research, 15, 1, 19700–19711, Feb. 2025, https://doi.or g/10.48084/etasr.9156.

[14] S. Vijayakumar, N. S. Hameed, K. S. Tiwari, A. A. Sundarraj, N. Gopinath, and L. R. Buckingham, "IoT Solutions for Remote Health Monitoring," The Impact of Algorithmic Technologies on Healthcare, 225-254, 2025, https://doi.org/10.1002/9781394305490.ch12

[15] Al Reshan, M. S. (2021). IoT-based Application of Information Security Triad. International Journal of Interactive Mobile Technologies (iJIM), 15(24), pp. 61–76. https://doi.org/10.3991/ijim.v15i24.27333

[16] F. Bettou, and M. Boufaida, "An adaptation architecture dedicated to personalized management of multimedia documents," International Journal of Multimedia Data Engineering and Management, 8(1), 21–41, 2017, https://doi.org/10.4018/IJMDEM.2017010102.

[17] A. Saighi, R. Philippe, N. Ghoualmi, S. Laborie, and Z. Laboudi, "HaMA: A Handicap-based Architecture for Multimedia Document Adaptation, " International Journal of Multimedia Data Engineering and Management, 8(3), 55– 96,2017, https://doi.org/ 10.4018/IJMDEM.2017070104.

[18] P. Nawrocki, and B. Sniezynski, "Adaptive context-aware energy optimization for services on mobile devices with use of machine learning," Wireless Personal Communications, 115(3), 1839-1867,2020, https://doi.org/10.1007/s11277-020-07657-9.

[19] A. Adel, S. Laborie, and P. Roose, "Automatic Adaptation of Multimedia Documents," Procedia Computer Science, 19, 992–997, 2013. https: //doi .org/10.1016/j.procs.2013.06.138.

[20] A. Ayadi, A. Saighi, and Z. Laboudi, "An Adaptive Approach to Multimedia Adaptation in Context-Aware Pervasive Systems," Engineering, Technology & Applied Science Research, 15(2), 21177-21186, 2025, https://doi.org/10.48084/etasr.9873.

[21] A. Saighi, Z. Laboudi, P. Roose, S. Laborie, and N. Ghoualmi-Zine, "On Using Multiple Disabilities Profiles to Adapt Multimedia Documents," International Journal of Information Technology and Web Engineering, 15(3), 34–60, 2020, https://doi.org/10.4018/IJITWE.2020070103

[22] H. Khallouki, and M. Bahaj, "Context Awareness-Based Ontology Using Internet of Things for Multimedia Documents Adaptation," In Advanced Information Technology, Services and Systems: Proceedings of the International Conference on Advanced Information Technology, Services and Systems (AIT2S-17) Held on April 14/15, 2017 in Tangier (pp. 69-77), Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-69137-4_7.

[23] F. Bettou, and B. Boulkroun, "A Multi-Viewpoint Approach For Semantic Multimedia Documents Adaptation, " In Proceedings of the 9th World Congress on Electrical Engineering and Computer Systems and Science, 2023, https://doi.org/10.11159/cist23.107

[24] I. Horrocks, P. F. Patel-Schneider, H. Boley, S. Tabet, B.Grosof, and M. Dean, "SWRL: A semantic web rule language combining OWL and RuleML," W3C Member submission, 21(79), 1-31, 2004.