Worker Posture Analysis
Evaluating computer vision-based markerless motion capture systems for real-world worker posture analysis and ergonomic assessment.
Computer VisionPose EstimationErgonomicsDeep Learning
Hi, I'm Jason Wang
Ph.D. Candidate in Data Science at the University of Virginia, specializing in Computer Vision and Human Pose Estimation for biomechanical applications.
Featured Research
Research at the intersection of computer vision and biomechanics
Biomechanical Angle Estimation
A pose-to-kinematics framework that transforms 3D joint positions from markerless pose estimation into clinically relevant, ISB-standard biomechanical joint angles using a transformer-based mapping architecture.
BiomechanicsDeep LearningJoint Angles3D PoseInverse KinematicsTransformer
Tennis Serve Dataset & Analysis
A large-scale 3D pose estimation dataset of 5,966 professional tennis serves from broadcast video, enabling biomechanical analysis, player classification, and performance prediction at unprecedented scale.
Sports AnalyticsDatasetTennisPose Estimation3D ReconstructionBiomechanics
Deep Learning for Pediatric Crohn's Disease
A deep learning approach for predicting pediatric Crohn's disease from histopathological whole slide images, with investigation of inter-site generalizability and site-specific artifact mitigation.
Deep LearningMedical ImagingHistopathologyCNNGrad-CAM
Research Focus
Computer Vision
Developing and evaluating pose estimation algorithms for real-world applications
Biomechanics
Bridging the gap between AI-based motion capture and clinical biomechanical analysis
Sports Science
Applying machine learning to analyze and improve athletic performance