Implementación de un sistema de comunicación SAAC con inteligencia artificial en elevador

Abstract

The increase in physical and cognitive limitations among the older adult population has highlighted the difficulties associated with stair use, which are present in most homes and restrict mobility, directly affecting personal autonomy. In response to this situation, the present research focused on the development of an augmentative and alternative communication (AAC) system supported by artificial intelligence for the control of handmade elevators, with the aim of facilitating mobility for this age group. The study was conducted through the integration of an ESP32 microcontroller with a mobile application designed to provide three interaction modalities: manual control via a touch-based interface, voice control using commands in Spanish and English (arriba, abajo, and parar; up, down, and stop), and control through computer vision based on color card recognition. To ensure safe operation, limit switches, an electrical interlocking system, and relays for voltage conversion from 5 V to 220 V were incorporated. System validation was carried out through the construction of an elevator prototype and the execution of functional tests. The results demonstrated adequate system performance, confirming that the three control modalities enable effective user interaction. The proposed system represents a significant contribution to the field of assistive technology by combining augmentative communication and artificial intelligence to improve accessibility and enhance the quality of life of older adults.