000147133 001__ 147133
000147133 005__ 20241212141913.0
000147133 0247_ $$2doi$$a10.1109/OJIES.2024.3483552
000147133 0248_ $$2sideral$$a141040
000147133 037__ $$aART-2024-141040
000147133 041__ $$aeng
000147133 100__ $$aGonzález-Docasal, Ander
000147133 245__ $$aDesign and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility
000147133 260__ $$c2024
000147133 5060_ $$aAccess copy available to the general public$$fUnrestricted
000147133 5203_ $$aThis 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.
000147133 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000147133 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000147133 700__ $$aAlonso, Jon
000147133 700__ $$aOlaizola, Jon
000147133 700__ $$aMendicute, Mikel
000147133 700__ $$aFranco, María Patricia
000147133 700__ $$aPozo, Arantza del
000147133 700__ $$aAguinaga, Daniel
000147133 700__ $$aÁlvarez, Aitor
000147133 700__ $$0(orcid)0000-0001-9137-4013$$aLleida, Eduardo$$uUniversidad de Zaragoza
000147133 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000147133 773__ $$g5 (2024), 1239-1250$$pIEEE open j. ind. electron. soc.$$tIEEE Open Journal of the Industrial Electronics Society$$x2644-1284
000147133 8564_ $$s8771744$$uhttps://zaguan.unizar.es/record/147133/files/texto_completo.pdf$$yVersión publicada
000147133 8564_ $$s2655222$$uhttps://zaguan.unizar.es/record/147133/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000147133 909CO $$ooai:zaguan.unizar.es:147133$$particulos$$pdriver
000147133 951__ $$a2024-12-12-12:43:35
000147133 980__ $$aARTICLE