NCT05443893

Artificial Intelligence in Kinematics Analysis

Application Research of Key Points Detection Technology of Artificial Intelligence in Kinematics Analysis

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 30 (estimated)
• Sponsor: Peking University Third Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Accepted

Summary

1. Establish data sets. The private data set includes relevant parameters including video of the subject's gait and standard methods for kinematic analysis; 2. Develop new models. Based on public and private data sets, the kinematic analysis model of human key point detection is further developed. 3. Test the new model. By comparing the parameters with the standard method, the accuracy of the model was verified, and the kinematics analysis model of artificial intelligence with accuracy above 98% was obtained

Detailed description

Artificial intelligence human key point detection model mainly has traditional algorithm, "top-down" algorithm and "bottom-up" algorithm three methods, three methods have advantages. This project will comprehensively use the above three methods to conduct algorithm and parameter debugging in the public data set and test in the private data set, so as to obtain the most suitable human key point recognition method for gait analysis

Conditions

• Gait

Interventions

Type	Name	Description
DEVICE	Application Research of key points detection technology	Artificial intelligence human key point detection model mainly has traditional algorithm, "top-down" algorithm and "bottom-up" algorithm three methods, three methods have advantages. This project will comprehensively use the above three methods to conduct algorithm and parameter debugging in the public data set and test in the private data set, so as to obtain the most suitable human key point recognition method for gait analysis

Timeline

• Start date: 2022-07-10
• Primary completion: 2022-07-29
• Completion: 2022-08-30
• First posted: 2022-07-05
• Last updated: 2022-07-05