Project
Emotion recognition system optimized for VR (virtual reality) using an eye and brain interface

Project Summary
Looxid Labs has developed an emotion recognition system optimized for VR (virtual reality) using an eye and brain interface. Looxid Labs is the leading authority on VR user’s emotion recognition and analysis, designed to measure the user’s eye movements and brain activity with VR embeddable eye-tracking camera and EEG sensors and detect the user’s emotion by using machine learning techniques. Our technology has unlimited potential. It can be applied to customize various VR applications including gaming, entertainment, marketing, education, and healthcare.

Our emotion recognition system is composed of three parts: hardware, machine learning algorithm, and expandable API. Our unique VR-embeddable sensor measures VR users’ bio-signals including their brainwaves, eye-movements, and pupil information. The users’ bio-signals are accurately classified into their emotional states by our exceptional machine learning algorithm. With the analyzed data and our API, our clients are able to understand and utilize the users’ personalized data. For instance, our clients can obtain the quantifiable data about where the users have looked and how they felt during the VR experience.

Business Model
- Revenue Model: Eye-brain interface module license, VR user emotion analytics solution
- Target Customer: VR hardware manufacturers, VR content providers in Education, Medicine, Game, and Marketing industries
- Distribution Channels: B2B business
- Key Performances: Technical tie-up with target customers including students, patients, and users, Use case development in partnership with VR content providers

Main Achievements
- Employment Creation: 14
- Follow-up Investment: In progress
- Dissertations or IP: 5 domestic & 3 international patents (pending)
- Other Achievements: Won a CES 2018 Best of Innovation Award in Virtual Reality, Best of CES2018 Finalists by Engadget, Named as K-Global 300, TransTech 200 for two consecutive years, CES 2016's ten coolest startups
Date of Establishment2015-01-07
Accelerator
StageInformation Communication
Date of TIPS Selection2015-02