Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility
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...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of the Industrial Electronics Society |
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| Online Access: | https://ieeexplore.ieee.org/document/10721366/ |
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| _version_ | 1841526370934456320 |
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| author | Ander Gonzalez Docasal Jon Alonso Jon Olaizola Mikel Mendicute Maria Patricia Franco Arantza Del Pozo Daniel Aguinaga Aitor Alvarez Eduardo Lleida |
| author_facet | Ander Gonzalez Docasal Jon Alonso Jon Olaizola Mikel Mendicute Maria Patricia Franco Arantza Del Pozo Daniel Aguinaga Aitor Alvarez Eduardo Lleida |
| author_sort | Ander Gonzalez Docasal |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bb4016e85d914f5d8c20c122b1e07c97 |
| institution | Kabale University |
| issn | 2644-1284 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Industrial Electronics Society |
| spelling | doaj-art-bb4016e85d914f5d8c20c122b1e07c972025-01-17T00:01:11ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842024-01-0151239125010.1109/OJIES.2024.348355210721366Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and AccessibilityAnder Gonzalez Docasal0https://orcid.org/0000-0003-3585-6346Jon Alonso1Jon Olaizola2https://orcid.org/0000-0002-5106-6283Mikel Mendicute3https://orcid.org/0000-0002-2728-8978Maria Patricia Franco4Arantza Del Pozo5https://orcid.org/0000-0003-3505-5514Daniel Aguinaga6https://orcid.org/0000-0001-6229-361XAitor Alvarez7Eduardo Lleida8https://orcid.org/0000-0001-9137-4013Fundación Vicomtech, Basque Research and Technology Alliance, Donostia-San Sebastián, SpainIKOR, Sistemas Electrónicos S.L., Parque Empresarial Zuatzu, Donostia-San Sebastian, SpainElectronics & Computer Science Department, Mondragon University, Arrasate-Mondragon, SpainElectronics & Computer Science Department, Mondragon University, Arrasate-Mondragon, SpainOrona Corporación, Orona Ideo, Hernani, SpainFundación Vicomtech, Basque Research and Technology Alliance, Donostia-San Sebastián, SpainIKOR, Sistemas Electrónicos S.L., Parque Empresarial Zuatzu, Donostia-San Sebastian, SpainFundación Vicomtech, Basque Research and Technology Alliance, Donostia-San Sebastián, SpainAragon Institute for Engineering Research, University of Zaragoza, Zaragoza, SpainThis 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.https://ieeexplore.ieee.org/document/10721366/Automatic speech recognitionembedded systemshuman–machine interaction |
| spellingShingle | Ander Gonzalez Docasal Jon Alonso Jon Olaizola Mikel Mendicute Maria Patricia Franco Arantza Del Pozo Daniel Aguinaga Aitor Alvarez Eduardo Lleida Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility IEEE Open Journal of the Industrial Electronics Society Automatic speech recognition embedded systems human–machine interaction |
| title | Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility |
| title_full | Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility |
| title_fullStr | Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility |
| title_full_unstemmed | Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility |
| title_short | Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility |
| title_sort | design and evaluation of a voice controlled elevator system to improve the safety and accessibility |
| topic | Automatic speech recognition embedded systems human–machine interaction |
| url | https://ieeexplore.ieee.org/document/10721366/ |
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