csu-signal/TRACE
Jan 2025 – Feb 2025
2 Months active
Languages Used
PythonYAMLCSV
Technical Skills
Behavioral AnalysisComputer VisionData AnalysisGUI DevelopmentMachine LearningMultimodality
unknown
PROFILE
Unknown
During a two-month period, Li developed and enhanced behavioral engagement analytics modules for the csu-signal/TRACE repository, focusing on real-time analysis of participant engagement in lab studies. Li integrated gaze, pose, and gesture analysis using Python and machine learning techniques, enabling quantitative assessment of engagement. The work included building a configurable experiment parameter menu, comprehensive event data logging in CSV format, and refining the user interface for clarity. Li expanded detection robustness by adding joint points and improved processing latency. The engineering demonstrated depth in computer vision, data analysis, and UI development, resulting in more accurate and actionable engagement insights.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
2,216
Activity Months2
Your Network
8 peopleWork History
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for repo csu-signal/TRACE. Focused on delivering a real-time analysis module with gaze and posture detection improvements, UI refinements, and data logging enhancements, along with a UI text fix. This work improved engagement analytics accuracy, reduced processing latency, and clarified operator UI.
4 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for repo csu-signal/TRACE. Focused on delivering a real-time analysis module with gaze and posture detection improvements, UI refinements, and data logging enhancements, along with a UI text fix. This work improved engagement analytics accuracy, reduced processing latency, and clarified operator UI.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary focusing on delivering a new Lab Study Behavioral Engagement Analytics Module in the csu-signal/TRACE repository. The module integrates gaze, pose, and gesture analysis to assess participant engagement in lab studies, including a configuration menu for experimental parameters and detailed event data logging for downstream analytics. No major bugs fixed this month; the work directly enables data-driven study design and quantitative engagement insights.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary focusing on delivering a new Lab Study Behavioral Engagement Analytics Module in the csu-signal/TRACE repository. The module integrates gaze, pose, and gesture analysis to assess participant engagement in lab studies, including a configuration menu for experimental parameters and detailed event data logging for downstream analytics. No major bugs fixed this month; the work directly enables data-driven study design and quantitative engagement insights.
Activity
Loading activity data...
Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPythonYAML
Technical Skills
Behavioral AnalysisComputer VisionConfiguration ManagementData AnalysisData LoggingFeature DevelopmentFeature EngineeringGUI DevelopmentMachine LearningMultimodalityReal-time AnalysisUI Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline