Emotion-Detecting Eyeglass Apps

The Fraunhofer Google Glass App Uses Facial Recognition Technology

Researchers at the Fraunhofer Institute in Germany have developed a Google Glass app that uses emotion-detecting technology to carry out facial recognition. The app uses SHORE (Sophisticated High-Speed Object Recognition) software, initially developed to aid communication for people with disabilities.

The SHORE technology contains a database of over 10,000 faces. It can gauge emotions such as happiness, sadness, anger and surprise and display this information on a screen. It can also estimate gender and age, a feature that could have wide-ranging applications in market research and gaming. It could also have important applications for people with communicative disorders like autism.

The Fraunhofer Google Glass app has been tested through the Google Glass Explorer Program, but a launch date for the app has not yet be set.
Trend Themes
1. Emotion-detecting Technology - The use of emotion-detecting technology in wearable devices and applications has disruptive innovation potential in various industries such as healthcare, entertainment, and marketing.
2. Facial Recognition - The development of facial recognition technology has the potential to revolutionize industries such as security and surveillance, customer verification, and personalization.
3. Wearable Technology - The growing popularity of wearable technology presents disruptive innovation opportunities in various industries such as healthcare, fitness, and fashion.
Industry Implications
1. Healthcare - Healthcare providers can use emotion-detecting technology in wearable devices to help patients with autism and other communicative disorders to communicate more effectively.
2. Entertainment - The technology can be applied in gaming to detect and respond to players' emotions, enhancing user experience.
3. Marketing - Marketers can use emotion-detecting technology to better understand consumer behavior and emotional responses to products or experiences.

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