UniversumX/Universum
Nov 2024 – Nov 2024
1 Month active
Languages Used
Python
Technical Skills
CSV HandlingData CollectionData VisualizationDebuggingLSL IntegrationReal-time Data Processing
Yue Yu
PROFILE
Yue Yu
Developed a real-time EEG data collection pipeline for the UniversumX/Universum repository, focusing on immediate capture and monitoring of EEG streams using Python and LSL integration. The solution logged synchronized data to CSV files and enabled live visualization for rapid analysis, supporting research workflows that require both real-time feedback and persistent storage. Additionally, expanded sensor data collection by incorporating accelerometer and action data for subject 106, enriching the dataset and extending CSV schemas. Instrumentation for debugging was introduced to facilitate easier troubleshooting and data validation. The work emphasized robust data handling, real-time processing, and clear visualization to support scalable research pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
24,191
Activity Months1
Your Network
7 peopleWork History
November 2024
4 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for UniversumX/Universum. Key features delivered include a real-time EEG data collection pipeline with LSL integration and live plotting, enabling immediate capture and monitoring of EEG streams. The pipeline logs data to eeg_data1.csv with precise timing information and supports rapid analysis through live visualization. Additionally, sensor data collection enrichment for subject 106 was implemented, adding accelerometer and action data to CSV outputs and introducing debugging instrumentation to support richer datasets. Major bugs fixed: no critical defects reported in scope; stability improvements in data capture and groundwork for debugging instrumentation. Commits associated with the EEG pipeline: 40afd0eeea7b01c3a892b80b094b54599cc04ef2; 7a49b2442777453b2f9a4de43cad5d76593c1b89; c1d0f9b88e0b7339cb44e7a88aa9037fcc65847e. The subject 106 enrichment was implemented in commit 0849c468697e5abbf479d38d5c5e943b85087eed (data collection debug). Overall, these efforts deliver real-time data capture with monitoring capabilities and richer, easier-to-analyze datasets, laying a foundation for scalable data pipelines and more robust research workflows. Technologies/skills demonstrated include real-time data streaming (LSL), data logging to CSV, live plotting, and instrumentation for debugging.
4 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for UniversumX/Universum. Key features delivered include a real-time EEG data collection pipeline with LSL integration and live plotting, enabling immediate capture and monitoring of EEG streams. The pipeline logs data to eeg_data1.csv with precise timing information and supports rapid analysis through live visualization. Additionally, sensor data collection enrichment for subject 106 was implemented, adding accelerometer and action data to CSV outputs and introducing debugging instrumentation to support richer datasets. Major bugs fixed: no critical defects reported in scope; stability improvements in data capture and groundwork for debugging instrumentation. Commits associated with the EEG pipeline: 40afd0eeea7b01c3a892b80b094b54599cc04ef2; 7a49b2442777453b2f9a4de43cad5d76593c1b89; c1d0f9b88e0b7339cb44e7a88aa9037fcc65847e. The subject 106 enrichment was implemented in commit 0849c468697e5abbf479d38d5c5e943b85087eed (data collection debug). Overall, these efforts deliver real-time data capture with monitoring capabilities and richer, easier-to-analyze datasets, laying a foundation for scalable data pipelines and more robust research workflows. Technologies/skills demonstrated include real-time data streaming (LSL), data logging to CSV, live plotting, and instrumentation for debugging.
November 2024
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture60.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
CSV HandlingData CollectionData VisualizationDebuggingLSL IntegrationReal-time Data ProcessingSignal Processing
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