csu-signal/TRACE
Jan 2025 – Mar 2025
3 Months active
Languages Used
MarkdownPythonYAMLShell
Technical Skills
3D ReconstructionAPI IntegrationComputer VisionConfiguration ManagementData LoadingData Logging
Hannah VAnderHoeven
PROFILE
Hannah Vanderhoeven
Hannah Vanderbuilt contributed to the csu-signal/TRACE repository by developing and refining features for live participant tracking, friction analytics, and real-time behavioral analysis over a three-month period. She engineered gaze and gesture tracking demos, integrated friction modeling using Hugging Face Transformers, and enhanced audio input management with robust error handling and asynchronous processing. Her work included Python-based server/client architectures, MediaPipe-powered visualization utilities, and improvements to configuration and documentation for reproducibility. By addressing system stability, temporary file management, and interface alignment, Hannah ensured TRACE’s readiness for research demonstrations and production deployment, demonstrating depth in computer vision, backend development, and machine learning integration.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
27Total
Bugs
3
Commits
27
Features
7
Lines of code
6,517
Activity Months3
Your Network
8 peopleWork History
March 2025
9 Commits • 3 Features
Mar 1, 2025In March 2025, the TRACE project delivered targeted feature enhancements, stability fixes, and improved developer experience in csu-signal/TRACE. The work supported reliable live analysis, better participant tracking, and more reusable visualization assets, aligning with research paper requirements and business objectives for demonstration readiness and reproducibility. Key outcomes include a comprehensive AAAI/HCII Demo Revamp, a robust visual overlay utility, improved temporary directory handling to prevent cross-feature conflicts, friction/Planner integration fixes to stabilize planning outputs, and documentation/examples cleanup to improve onboarding and collaboration across teams.
9 Commits • 3 Features
Mar 1, 2025In March 2025, the TRACE project delivered targeted feature enhancements, stability fixes, and improved developer experience in csu-signal/TRACE. The work supported reliable live analysis, better participant tracking, and more reusable visualization assets, aligning with research paper requirements and business objectives for demonstration readiness and reproducibility. Key outcomes include a comprehensive AAAI/HCII Demo Revamp, a robust visual overlay utility, improved temporary directory handling to prevent cross-feature conflicts, friction/Planner integration fixes to stabilize planning outputs, and documentation/examples cleanup to improve onboarding and collaboration across teams.
March 2025
February 2025
11 Commits • 2 Features
Feb 1, 2025February 2025: Consolidated TRACE improvements for reliability, throughput, and deployment readiness. Delivered friction analysis system enhancements (server/client architecture, asynchronous processing, robust error handling, utterance sliding windows, logging, and improved UI output), enhanced audio input management (microphone enumeration utility, configurable microphone setups for EMNLP_live, and safer audio file handling with optional cleanup), and system stability fixes (broader error handling and debugging improvements across Python components and audio initialization). These contributions reduce latency, improve analytics reliability, and enable smoother production deployment. Technologies demonstrated include Python-based server/client design, concurrency (socket threading, asynchronous processing), logging/observability, and robust audio I/O management.
February 2025
11 Commits • 2 Features
Feb 1, 2025February 2025: Consolidated TRACE improvements for reliability, throughput, and deployment readiness. Delivered friction analysis system enhancements (server/client architecture, asynchronous processing, robust error handling, utterance sliding windows, logging, and improved UI output), enhanced audio input management (microphone enumeration utility, configurable microphone setups for EMNLP_live, and safer audio file handling with optional cleanup), and system stability fixes (broader error handling and debugging improvements across Python components and audio initialization). These contributions reduce latency, improve analytics reliability, and enable smoother production deployment. Technologies demonstrated include Python-based server/client design, concurrency (socket threading, asynchronous processing), logging/observability, and robust audio I/O management.
January 2025
7 Commits • 2 Features
Jan 1, 2025January 2025: Delivered key enhancements in csu-signal/TRACE, focusing on HCII live tracking capabilities and friction analytics. Two major features were implemented with accompanying setup and integration work: 1) HCII Live Tracking Demo: Gaze and Gesture with Object Selection — includes a demo script, interfaces updated for new body ID formats, and Azure Kinect SDK setup guidance. Commit trajectory includes updates to the body tracking path and object interfaces. 2) Friction Modeling Integration — progressed from a stub to a working friction model with refactored data loading, Hugging Face-based processing, and authentication documentation. Also updated repository interfaces and PR-related YAML to support ongoing development. Overall, these efforts improve demonstrable HCII capabilities, enable friction analytics, and strengthen the data pipeline and SDK integrations for TRACE.
7 Commits • 2 Features
Jan 1, 2025January 2025: Delivered key enhancements in csu-signal/TRACE, focusing on HCII live tracking capabilities and friction analytics. Two major features were implemented with accompanying setup and integration work: 1) HCII Live Tracking Demo: Gaze and Gesture with Object Selection — includes a demo script, interfaces updated for new body ID formats, and Azure Kinect SDK setup guidance. Commit trajectory includes updates to the body tracking path and object interfaces. 2) Friction Modeling Integration — progressed from a stub to a working friction model with refactored data loading, Hugging Face-based processing, and authentication documentation. Also updated repository interfaces and PR-related YAML to support ongoing development. Overall, these efforts improve demonstrable HCII capabilities, enable friction analytics, and strengthen the data pipeline and SDK integrations for TRACE.
January 2025
Activity
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Quality Metrics
Correctness81.8%
Maintainability82.2%
Architecture78.4%
Performance66.8%
AI Usage29.6%
Skills & Technologies
Programming Languages
MarkdownPythonShellYAML
Technical Skills
3D ReconstructionAPI IntegrationAsynchronous OperationsAudio ProcessingBackend DevelopmentBehavioral AnalysisBug FixingClient-Server CommunicationCode OrganizationCode RefactoringComputer VisionConfiguration ManagementData LoadingData LoggingData Processing
Repositories Contributed To
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