This essay explores the future of interactive technology with a focus on sign language recognition as a vital means of communication for the deaf and hearing-impaired communities. It outlines the current state of sign language technologies, their limitations, and the significant challenges in achieving seamless human-computer interaction. By reviewing existing innovations such as smart sign language interpreter devices and AI-driven gesture recognition, the paper emphasises the transformative potential of these tools in everyday life, education, and public services. Moreover, it highlights the socio-economic impact of accessible communication technologies and calls for further interdisciplinary research and development. Through enhanced datasets, multimodal models, and ethical integration of artificial intelligence, the future holds the promise of more inclusive and human-centred interaction design.

Zichong Lu. From Gesture to Voice: Advancing Human-Computer Interaction for the Deaf Community. Frontiers in Art Research (2025), Vol. 7, Issue 4: 75-82. https://doi.org/10.25236/FAR.2025.070411.

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