Esync AR 글래스 by Esync Design Team is a highly esteemed winner of the very prestigious 2024 A' Design Award 철상 in 웨어러블 기술 디자인 Competition Category.

철웨어러블 기술· 2024

Esync AR 글래스

by Esync Design Team

Client: E-Sync

A' Design Award 철상 Winner in 웨어러블 기술 Category

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View at A' Design Award Press Release Award Badge

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The Design

About Esync AR 글래스

E-sync는 청력 손실이 있는 사람들을 위한 웨어러블 커뮤니케이션 보조 기기로, AI를 활용하여 음성과 감정을 분석합니다. 음성 내용과 감정을 텍스트와 촉각 진동으로 변환하여 사용자가 화자의 어조를 이해할 수 있도록 합니다. 사용자는 수어로 응답할 수 있으며, AI를 통해 음성 메시지로 변환됩니다. 이 기기의 폴딩 디자인은 편리하고 보호 기능이 뛰어나며, 일상 복장과 조화를 이루는 우아한 색상 구성을 갖추고 있습니다. 함께 제공되는 앱을 통해 실시간 언어 처리 맞춤 설정이 가능하여, 사회적 상호작용에서 사용자의 커뮤니케이션 경험을 향상시킵니다.

The Recognition

About the A' Design Award 철상

Esync AR 글래스, 이 작품은 A' Design Award 철상 수상작으로, 잘 디자인된 창작물에 기대되는 전문적·산업적 요건을 충족하는 좋은 디자인에 수여되는 권위 있는 인정입니다. 철상 수상작은 창작자의 뛰어난 기술, 높은 전문성, 전문가다운 이해, 창의적 역량을 보여 줍니다. Esync AR 글래스, 이 작품은 높이 평가받고 감탄과 사랑을 받는 창작물로서 실용적이고 혁신적일 것으로 기대됩니다. 이 철상 수상 디자인은 업계 모범 사례를 통합하며 노하우와 재능으로 연결된 유능한 기술적 특성을 갖추고 있습니다. Esync AR 글래스, 이 작품은 철저함으로 존중받으며 삶의 질을 개선하여 세상을 더 나은 곳으로 만들도록 디자인되었습니다.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: E-sync, AR smart glasses for the hearing impaired, aims to improve emotion recognition and expression in interpersonal communication. E-sync uses AI hardware to analyze speech and gestures, generating visual and auditory feedback through AR technology. It adapts to social contexts and emotional signals, enhancing communication for the hearing impaired and reducing misunderstandings.
Dimensions & Packaging: 150mm x 155mm x 38mm
E-sync's unique lens storage design adds convenience and protection, while its elegant color scheme and material combination enhance comfort and style, making it both functional and fashionable. Moreover, the accompanying app E-connect, allows for real-time language processing adjustments, ensuring convenient usage.
Tags: AR glasses, Hearing-impaired people, Emotional expression, AI Hardware, Smart Wearable Technology
Production Technology: The introduction of AI technology into E-sync enhances face-to-face communication for the hearing-impaired. It recognizes speech content and emotional cues, converting them into text and tactile feedback. Users can respond using sign language, which the device converts into suitable speech based on gesture recognition. This closed-loop communication process, aided by AI hardware, reduces misunderstandings, and improves social interactions.
Design Challenge: We extensively considered the shape and size of the product during the design process, exploring options like smartphones and smartwatches, but ultimately choosing glasses as the most convenient option. We also considered privacy concerns during communication between individuals with hearing loss and hearing individuals, addressing these issues in our design of aesthetics and functionalities.
Research: 60.5M+ individuals with severe to total hearing loss struggle with conventional aids, limiting access to info & effective communication. Current assistive devices mainly convert speech-to-text, ignoring the depth of understanding and emotional conveyance crucial in social interactions. This barrier exacerbates isolation, discrimination, and mental health concerns in a hearing-centric society.
Inspiration: People with disabling hearing loss face limitations in accessing auditory cues, resulting in lower emotional cognition compared to hearing individuals. This lack of emotional understanding can lead to misunderstandings in social interactions and difficulties in conveying true emotions and attitudes. Consequently, it may cause offense or awkwardness, leading to misunderstandings and inconvenience.
Project Duration: The project started in January 2024 in Beijing and finished in March 2024 in Beijing.
Operation Flow: E-sync utilizes AI to analyze the speech information of the hearing population, generating visual information, which is then presented to the user through augmented reality technology on the lenses of the glasses. Additionally, the product scans sign language gestures through cameras and translates them into corresponding phrases. Based on the user's social occasions and physiological signals related to personal emotions, AI processes and outputs complete sentences through the speaker.
Team Members: Yiyu Qi
Wenfei Li
Yihuan Ma
Wenbing Du