The aim of this project is to successfully develop and industrialise the "Facial Movement 3D Dynamic Quantitative Measurement Device", which is a commercial device that can provide dynamic indicators of facial movement, and can practically solve the evaluation problems of facial paralysis for doctors and patients, and has important clinical value and social benefits.
Based on the current optimal high-precision face key point technology, the effective high-precision automatic face recognition model conforming to the Asian face is established through specialised training with targeted marker data, time series training optimisation based on optical flow, and local image tracking technology. The 3D reconstruction technique is then used to reconstruct the 3D spatial coordinates of the face keypoints, so as to realise the multi-camera 3D tracking of the face keypoints. The displacement of the key points is used to respond to the facial muscle activity characteristics of facial paralysis patients.
Study Type
OBSERVATIONAL
Enrollment
200
non-intervention
Peking Union Medical College Hospital
Beijing, Beijing Municipality, China
RECRUITINGFacial feature point displacement distance
Displacement of corresponding facial feature points when volunteers perform specific actions such as specific expressions (raising eyebrow, closing eyes, shrugging nose, smiling and whistling)
Time frame: 3 months
Facial Feature Point Velocity
Velocity of the corresponding facial feature points of volunteers when accomplishing specific actions such as specific expressions (raising eyebrows, closing eyes, shrugging nose, smiling, whistling)
Time frame: 3 months
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