Esync ARグラス by Esync Design Team is a highly esteemed winner of the very prestigious 2024 A' Design Award 鉄賞 in ウェアラブル技術デザイン Competition Category.

鉄ウェアラブル技術· 2024

Esync ARグラス

by Esync Design Team

Client: E-Sync

A' Design Award 鉄賞 Winner in ウェアラブル技術 Category

116,964
Verified Award Winner
Verify Award Status for #161133

View at A' Design Award Press Release Award Badge

Colors

The Design

About Esync ARグラス

E-syncは、AIを活用して音声と感情を分析する、聴覚障害者向けウェアラブルコミュニケーション補助機器です。音声内容と感情をテキストと触覚振動に変換し、ユーザーが話者のトーンを理解できるようサポートします。ユーザーは手話で応答でき、AIによって音声メッセージに変換されます。折りたたみ式デザインで携帯性と保護性に優れ、エレガントな配色により日常の装いにも自然に馴染みます。専用アプリでは、リアルタイムで言語処理をカスタマイズでき、社会的交流におけるユーザーのコミュニケーション体験を向上させます。

The Recognition

About the A' Design Award 鉄賞

Esync ARグラスは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Esync ARグラスは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Esync ARグラスは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。

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