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Development and Application of a Dynamic Three-dimensional Quantitative Facial Measurement Device

Recruiting
Conditions
Facial Palsy
Interventions
Other: non-intervention
Registration Number
NCT05981651
Lead Sponsor
Peking Union Medical College Hospital
Brief Summary

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.

Detailed Description

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.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
200
Inclusion Criteria
  1. Older than 14 years
  2. No history of facial surgery, facial trauma, or scars obscuring the facial features.
  3. Able to perform relevant actions according to instructions
  4. Willingness to participate in the study
Exclusion Criteria
  1. Unwillingness to participate in the study
  2. Unable to co-operate with relevant command actions
  3. Obvious trauma, scars, etc. obscuring the facial features
  4. Less than 14 years of age

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
test setnon-interventionA total of 50 cases of healthy volunteers and patients with facial palsy were used as the test set for the algorithm
training sessionnon-interventionA total of 150 facial expression videos of healthy volunteers and facial palsy patients were collected as a training set for the algorithm
Primary Outcome Measures
NameTimeMethod
Facial Feature Point Velocity3 months

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)

Facial feature point displacement distance3 months

Displacement of corresponding facial feature points when volunteers perform specific actions such as specific expressions (raising eyebrow, closing eyes, shrugging nose, smiling and whistling)

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Peking Union Medical College Hospital

🇨🇳

Beijing, Beijing, China

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