Personalized Storytelling Pendants

The 3D-Printed Aura Pendant Visually Tells a Story of Love

There are now a number of 3D-printed jewelry pieces that have been successfully created based off of one's heartbeat or soundwaves, but the Aura Pendant brings new meaning to customized jewelry of this kind.

The Aura Pendant from Brazil-based architecture firm Estudio Guto Requena is designed to help capture a visual representation of one's love story. To do this, the firm created an app that is able to generate one-of-a-kind pendant designs. To capture their heartbeat, users are instructed to hold a finger to the back of their phone's camera and activate the device's flashlight. With the app, users are also able to speak their unique love story so that emotional data can be captured and turned into a stunning design that will be made into a wearable 18k gold keepsake.
Trend Themes
1. Customized Wearables - The 3D-printed Aura Pendant showcases how customization technology can be integrated into jewelry design for personal storytelling.
2. Emotional Data Visualization - The use of emotional data to create a visual representation opens up new possibilities in quantifying and illustrating human feelings in various industries from art to healthcare.
3. Mobile App Integration in Jewelry Making - The design process of the Aura Pendant, which includes the use of a mobile app to generate a unique pendant design, showcases the potential of mobile app integration in product design and manufacturing.
Industry Implications
1. Jewelry - The personalized Aura Pendant demonstrates how technology can be integrated into traditional jewelry making and create a new market for customized pieces.
2. Art - The visualization of emotional data showcased in the 3D-printed Aura Pendant shows how it can be integrated into contemporary art practices to create unique pieces.
3. Healthcare - The use of emotional data to create a visualization for the Aura Pendant presents a potential opportunity for healthcare professionals to gather and interpret patient data more accurately.

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