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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Neuro-Otology

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1635699

This article is part of the Research TopicHow Modern Technologies can be Helpful in Speech and Hearing Disorders and Sensory Organ Deterioration in the ElderlyView all 3 articles

Comparison of augmented reality glasses for the assistive communication support of hearing loss

Provisionally accepted
Helge  RhodinHelge RhodinImran  ErsoyImran ErsoySefa  AygunSefa AygunChristoph  J PfeifferChristoph J PfeifferAnna-Lisa  VollmerAnna-Lisa VollmerIngo  TodtIngo Todt*
  • Bielefeld University, Bielefeld, Germany

The final, formatted version of the article will be published soon.

Background: Augmented reality (AR) glasses can be utilized for various medical applications. Primarily, a visual overlay on the optic screen offers additional operational information. A transfer of acoustic information via speech-to-text transcript using AR glasses presents a new non-surgical option to support patients with different forms of hearing loss. This study aimed to evaluate different AR glasses for speech-to-text transcription. Methods: We compared four different AR glasses systems (Even Realities,G1; Meizu, MYVU IMIKI; XREAL,AIR, and Epson, Moverio 40) in terms of speech-to-text transcription, design, software, microphone and connection in this laboratory based study. Speech-capturing ability was tested using free-field numbers, monosyllables, and OLSA in quiet and in noise. Results: The AR systems achieved Freiburger monosyllabic speech recognition rates between 20 % and 45 % at 65 dB. OLSA in quiet results vary between 77% and 100%, with increases of +1.7 dB and +3.5 dB in noise. AR systems differ substantially in terms of design, software, microphone position, and connection. Proposed indication groups are given. Conclusion: AR glasses provide a potential supportive tool for patients with specific indications suffering from hearing loss. The systems show limitations in challenging hearing situations.

Keywords: augmented reality, artificial intelligence, Hearing Loss, indications of sign language, speech to text transcripts

Received: 26 May 2025; Accepted: 03 Sep 2025.

Copyright: © 2025 Rhodin, Ersoy, Aygun, Pfeiffer, Vollmer and Todt. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ingo Todt, Bielefeld University, Bielefeld, Germany

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