Esync AR眼鏡 by Esync Design Team is a highly esteemed winner of the very prestigious 2024 A' Design Award 鐵獎 in 穿戴式科技設計 Competition Category.

鐵穿戴式科技· 2024

Esync AR眼鏡

by Esync Design Team

Client: E-Sync

A' Design Award 鐵獎 Winner in 穿戴式科技 Category

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View at A' Design Award Press Release Award Badge

Colors

The Design

About Esync AR眼鏡

E-sync係一款為聽力障礙人士設計嘅可穿戴式溝通輔助設備，利用人工智能分析語音同情緒。佢將語音內容同情緒轉換成文字同觸覺震動，讓用戶理解說話者嘅語氣。用戶可以用手語回應，再透過人工智能轉換成語音訊息。呢款設備採用可摺疊設計，方便攜帶又具保護性，優雅嘅配色能夠融入日常服飾。配套應用程式支援實時語言處理自訂功能，提升用戶喺社交互動中嘅溝通體驗。

The Recognition

About the A' Design Award 鐵獎

Esync AR眼鏡是 A' Design Award 鐵獎得主，這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Esync AR眼鏡將成為一件備受推崇、令人欽佩且被珍愛的創作，既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐，並擁有與專業知識和才華相結合的稱職技術特性。Esync AR眼鏡因其嚴謹而受到尊重，旨在提供有助於讓世界變得更美好的生活品質改善。

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