Page 756 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

REQ-05: It is of added value that the system provides a web-based dashboard for behavior
review, annotation, and intervention planning, enabling healthcare professionals to efficiently
analyze and act on behavioral insights.

4 Sequence Diagram

5 References

[1] SK Telecom. (2025). VL2Lite: Task-specific knowledge distillation from large vision-language
models to lightweight networks. In Proceedings of the IEEE/CVF Conference on Computer
Vision and Pattern Recognition (CVPR).

[2] Pilot Deployments: http:// seculab .asuscomm .com: 30140/ Testbed portal

[3] World Health Organization, & World Bank. (2011). World report on disability. World Health
Organization. https:// www .who .int/ publications/ i/ item/ 9789241564182

[4] United Nations. (n.d.). Sustainable development goals. https:// sdgs .un .org/ goals

International Telecommunication Union. (2019). Y.3172: Architectural framework for machine
learning in future networks including IMT-2020. ITU-T. https:// www .itu .int/ rec/ T -REC -Y .3172
-201906 -I

[5] International Telecommunication Union. (2022). F.747.17: Requirements and functional
framework of AI-based behavior analysis in smart environments. ITU-T. https:// www .itu .int/
rec/ T -REC -F .747 .17 -202203 -I

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