Forensic Facial Identification using the Fringe P3 brain wave response (EEG-FIT)

根据目击者证词制作犯罪嫌疑人的面部合成物（通常称为PhotoFITs或EFITs）是世界各地协助刑事调查的主要工具。这个项目提出了一种激进的、新的方法来获得这种图像，提高了精度和速度。目前，犯罪目击者在训练有素的警察操作员的指导下制作合成图像，这个过程通常涉及大量的口头互动。因此，这个过程对人力资源的要求很高（需要1 - 4个小时），而且准确性很低。项目合作伙伴Visionmetric和肯特大学Howard Bowman教授的目标是通过结合他们的专业知识和取得必要的进步来克服当前方法的局限性。其核心思想是向犯罪现场的目击者展示计算机生成的一系列快速图像，这些图像经过计算后与嫌疑人相似。脑电图（EEG）是用来捕捉增强的脑电波反应，这种反应是在对与罪犯相似的刺激作出反应时观察到的。这种方法（被称为条纹P3方法）已被肯特大学的鲍曼广泛开发。Visionmetric专注于机器学习和应用于人脸的人工智能方法。他们建议开发快速和强大的迭代过程，从P3信号流中生成越来越相关的面部图像，并将这些图像呈现给证人。这种方法非常快。它直接利用目击者的正常脑电波活动，避免了目击者和操作员之间广泛互动的需要。我们的目标是证明可以在现有方法所需的一小部分时间内，制作出更准确的嫌疑人图像。”

"The production of facial composites of criminal suspects from eyewitness testimony (commonly known as PhotoFITs or EFITs) is a staple tool used to assist criminal investigations throughout the world. This project proposes a radical, new way of obtaining such images with increased accuracy and speed.At present, eyewitnesses to crime produce composite images under the guidance of a trained police operator and the process generally involves extensive verbal interaction. The process is thus demanding on human resources (taking 1 - 4 hours) and accuracy is quite low.The project partners Visionmetric and Prof Howard Bowman, University of Kent aim to overcome the limitations of current methods by combining their expertise and making the necessary advances. The central idea is to present eyewitnesses to a crime a rapid sequence of computer-generated images calculated to resemble the suspect. EEG (electroencephalography) is used to capture an enhanced brain wave response that is observed in response to stimuli which bear resemblance to the criminal offender. This method (known as the fringe P3 method) has been extensively developed by Bowman at University of Kent. Visionmetric specialise in machine learning and AI methods applied to the human face. They propose to develop fast and robust iterative processes for generating increasingly relevant facial images from the P3 signal stream and presenting these to the witness.This approach is very fast. It directly exploits the normal brainwave activity of the eyewitness and avoids the need for extensive interaction between the witness and operator. The aim will be to show that more accurate images of a suspect can be produced and in a small fraction of the time that is required using existing methods."