Posted by Dr Charles Nduka.

Emteq and Quantum Capture announce collaboration to create real time avatar facial expression animation

Emteq announced today a collaboration with Canadian company Quantum Capture, a leader in the development of virtual humans to integrate their technologies and deliver facial performance capture in real-time without cameras, wires or bulky headgear.

Emteq’s unique OCOsense™ smartglasses contain many tiny sensors in and around the glasses frame and use AI/Machine Learning to read and interpret the wearer’s facial movements and expressions, without cameras, wires or restrictive headgear. OCOsense™ will be available in 2018 and will combine both real-time facial expression tracking with a cloud-based analytics engine, facilitating emotional response analysis for scientific and market research

By combining Emteq’s unique OCO™ glasses platform with Quantum Capture’s avatar technologies we are enabling facial performance capture free of tracking markers, bulky and intrusive cameras, wires and weighty headgear. 

Emteq's patent-pending sensor technologies are also being used to develop FRAME smartglasses  that help rehabilitate people with facial palsy. This project is a collaboration between Emteq, Queen Victoria Hospital, Nottingham Trent and Coventry Universities and charity Facial Palsy UK. The project is funded by the National Institute for Health Research Invention for Innovation Programme.

For more information please view the full press release shared at the AWE Europe conference in Munich, Germany earlier today.

This post refers to independent research funded by the National Institute for Health Research (F.R.A.M.E. (facial remote activity monitoring eyewear) An inconspicuous, non-invasive, mobile sensor device for real-time control of assistive technologies through facial expression, Ref: II-LA-0814-20008). The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health