Abstract
This paper presents the design and implementation of a speech recognition software module for a smart closet. This is a work in progress, and it is focusing on people with visual disabilities as an assistive technology for the storage, searching, and extraction of their garments. Basically, through this human–computer interface, the users use speech to make requests. These instructions are translated into commands or actions for the smart closet such as insertion of garments, search for garments by description, and/or extract their clothes from their intelligent wardrobe. The speech recognition software module has based its development on agents and is centered on Web-based environments as a user interface. The preliminary results show the proposal’s potential and highlights the contributions: improving the quality of life for people with vision disabilities and integrating them into the digital age in the near future.
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This work was sponsored by the Tecnológico Nacional de México/Instituto Tecnológico de Matamoros (TecNM/ITM).
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Carolina Sauceda Peña, I., Alejandro Luna Gómez, D., Pineda-Briseño, A., Baltazar-Flores, R. (2021). Speech Recognition as Assistive Technology in a Smart Closet for Visual Disability. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R.J., Jain, L.C. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2021. Smart Innovation, Systems and Technologies, vol 241. Springer, Singapore. https://doi.org/10.1007/978-981-16-2994-5_35
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