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

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.

Study Overview

• Status: Recruiting
• Conditions: Facial Palsy
• Intervention / Treatment: Other: non-intervention

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.

• Study Type: Observational
• Enrollment (Estimated): 200

Contacts and Locations

• Study Contact: Name: Guodong Feng; Phone Number: 010 15001275266; Email: fengguodong2013@163.com

Study Locations

• China
  • Beijing
    • Beijing, Beijing, China, 100730
      • Recruiting
      • Peking Union Medical College Hospital
      • Contact: Guodong Feng; Phone Number: 010 15001275266; Email: fengguodong2013@163.com

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Child; Adult; Older Adult
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

Based on previous face data collection often use larger public datasets, such as the AFLW dataset with 20,000 images. we need the same order of magnitude of local ethnographic data for migration learning. At the same time, the data in the dataset is improved according to the need to improve the accuracy of the labelled data at key points. Take about 100 effective frames for each data set. Need to complete about 200 people of various types of face data acquisition. The test group data is generally designed to be more than 20% of the training data, so the number of test group samples is designed to be 50 groups.

Description

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 Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
training session; A total of 150 facial expression videos of healthy volunteers and facial palsy patients were collected as a training set for the algorithm	Other: non-intervention; non-intervention
test set; A total of 50 cases of healthy volunteers and patients with facial palsy were used as the test set for the algorithm	Other: non-intervention; non-intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Facial 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)	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)	3 months

Collaborators and Investigators

• Sponsor: Peking Union Medical College Hospital
• Investigators: Principal Investigator: Guodong Feng, Peking Union Medical College Hospital

Study record dates

Study Major Dates

• Study Start (Actual): July 1, 2022
• Primary Completion (Estimated): December 30, 2024
• Study Completion (Estimated): December 30, 2024

Study Registration Dates

• First Submitted: July 27, 2023
• First Submitted That Met QC Criteria: August 7, 2023
• First Posted (Actual): August 8, 2023

Study Record Updates

• Last Update Posted (Actual): August 8, 2023
• Last Update Submitted That Met QC Criteria: August 7, 2023
• Last Verified: August 1, 2023

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Pathologic Processes; Nervous System Diseases; Neurologic Manifestations; Disease Attributes; Stomatognathic Diseases; Mouth Diseases; Paralysis; Facial Paralysis; Facies
• Other Study ID Numbers: PekingUMCH record I-22PJ1121

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No