147133 20260219090937.0 doi 10.1109/OJIES.2024.3483552 sideral 141040 ART-2024-141040 eng González-Docasal, Ander Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility 2024 Access copy available to the general public Unrestricted This work introduces the design and assessment of a voice-controlled elevator system aimed at facilitating touchless interaction between users and hardware, thereby minimizing contact and improving accessibility for individuals with disabilities. The research distinguishes three distinct deployment scenarios—on cloud, on edge, and embedded—with the ultimate goal of integrating the entire system into a low-resource environment on a custom carrier board. An objective evaluation measured acoustic conditions rigorously using a dataset of 2900 audio files recorded inside a laboratory elevator cabin featuring two internal coatings, five audio input devices, and under four distinct noise conditions. The study evaluated the performance of two Automatic Speech Recognition systems: Google's Speech-to-Text API and a Kaldi model adapted for this task, deployed using Vosk. In addition, latency times for these transcribers and two communication protocols were measured to enhance efficiency. Finally, two subjective evaluations on clean and noisy conditions were conducted simulating a real world scenario. The results, yielding 84.7 and 77.2 points, respectively, in a System Usability Scale questionnaire, affirm the reliability of the presented prototype for industrial deployment. info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 4.3 2024 1.548 2024 Control and Systems Engineering 2024 Q1 Industrial and Manufacturing Engineering 2024 Q1 Electrical and Electronic Engineering 2024 Q1 11.1 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Alonso, Jon Olaizola, Jon Mendicute, Mikel Franco, María Patricia Pozo, Arantza del Aguinaga, Daniel Álvarez, Aitor Lleida, Eduardo Universidad de Zaragoza (orcid)0000-0001-9137-4013 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 5 (2024), 1239-1250 IEEE open j. ind. electron. soc. IEEE Open Journal of the Industrial Electronics Society 2644-1284 8771744 http://zaguan.unizar.es/record/147133/files/texto_completo.pdf Versión publicada 2655222 http://zaguan.unizar.es/record/147133/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:147133 articulos driver 2026-02-19-09:00:37 ARTICLE