Generating face images from brain waves

How are suspects identified and located when the only lead in the investigation is an eyewitness’ memory of events? In these situations Police will often create a pictorial likeness of the suspect called a Facial Composite (a.k.a. E-FIT, PhotoFIT or Identikit). Previously, composite images have been created from a verbal description of the suspect, provided by a witness. This is a lengthy process that can be prone to misinterpretation which adversely affects accuracy and therefore also diminishes the chance of locating the suspect. Wouldn’t it be great if we could overcome these issues by simply reading the witness’ mind? That’s what SPS spin-out company Visionmetric ltd aim to achieve with their EEG-FIT research and development project.

The EEG-FIT project aims to exploit the enhanced (so-called Fringe P3) EEG brain wave response to facial images that bear resemblance to a criminal suspect and, in this way, generate facial composite images more accurately and rapidly.

Key people: Dr Chris Solomon, Dr Stuart Gibson & Prof Howard Bowman.

Trust embraces artificial intelligence to improve patient care

Kent Researchers, Bai & Gibson, develop AI based Clinical Support Software to aid Ophthalmologists.

Senior lecturer Dr Stuart Gibson said: “AI has completely revolutionised the way we approach computer vision research. Our team has considerable experience in this area, having previously developed AI for facial identification, detection of objects concealed in postal items and the identification of unknown substances.”

“The primary motivation for our work is to have a positive impact on society. Our project with Nishal Patel and the Trust has the potential to significantly improve patient care.”