Ying Gao is a talented fashion creator that experiments with using technology to enhance the fashion-wearing experience and her recent collection of couture garments include two dresses entitled 'Can't' and 'Won't' that are able to detect and decode the wearer's emotion. In understanding the emotion of the wearer, the garments react and transform in state to present a liveable wearable that responds to the individual consumer.
The dresses are comprised of organza, PVDF, cotton mesh and tech devices that are able to read and understand the emotions of the wearer. If the dresses sense an emotional response from the wearer through its tech composition, the garment freezes. The relationship between the wearer and the clothing is thus heightened, as the consumer directly effects the appearance and state of the garment.
Emotion-Detecting Dresses
Ying Gao's Couture Garments Can Decode the Wearer's Feelings
Trend Themes
1. Emotion-detecting Fashion - Using technology for fashion that detects and decodes the wearer's emotions presents opportunities for creating personalized fashion experiences based on the wearer's mood.
2. Interactive Wearables - The fusion of technology and traditionally non-tech items, like clothing, creates the opportunity for innovative and interactive wearables.
3. Personalized Fashion Reactions - Equipping clothing with tech sensors allows the creation of personalized fashion reactions to the wearer's emotional response, opening new avenues for customization and creativity.
Industry Implications
1. Fashion Industry - The fashion industry can use technology to move beyond aesthetics and incorporate the emotional experience of clothing design, creating customized and personal responses for their customers.
2. Technology Industry - The technology industry can leverage innovation to bring about new possibilities in making clothing more dynamic and responsive to wearer experience.
3. Healthcare Industry - The healthcare industry can explore using similar technology to detect and monitor the emotions of patients, potentially making it easier to diagnose and treat mental health problems.