DDiegoP/Global2025
Jan 2025 – Jan 2025
1 Month active
Languages Used
C#C++Unity
Technical Skills
Android DevelopmentAudio InputBuild System ConfigurationC# ScriptingFMODInput System
Miguel Curros García
PROFILE
Miguel Curros García
During January 2025, Diego Curros developed a unified sensor-based input system for the DDiegoP/Global2025 repository, focusing on Android mobile platforms. He engineered integration of gyroscope, accelerometer, and attitude data to enable multimodal UI controls, structuring input through a dedicated InputData flow with robust error handling and reference reset features. Diego also incorporated microphone input with loudness processing, merging audio data into the sensor input pipeline. The work involved configuring the Android project for sensor handling and establishing a foundation for future multimodal controls. He utilized C#, Unity, and FMOD, demonstrating depth in mobile development and sensor integration without critical bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
7,961
Activity Months1
Your Network
44 peopleWork History
January 2025
5 Commits • 1 Features
Jan 1, 2025Month 2025-01 — DDiegoP/Global2025: Delivered a sensor-based input system and microphone integration for Android, establishing a unified input pathway and laying groundwork for multimodal UI controls. Implemented sensor-driven controls using Android gyroscope, accelerometer, and attitude data, with an InputData structure, UI feedback, reference reset, and robust error handling. Added microphone input with loudness processing and integrated it into the SensorsInput flow. Completed initial Android project setup and configuration for sensor input handling. No critical bugs identified this period; focus now on stabilization, performance tuning, and QA validation.
5 Commits • 1 Features
Jan 1, 2025Month 2025-01 — DDiegoP/Global2025: Delivered a sensor-based input system and microphone integration for Android, establishing a unified input pathway and laying groundwork for multimodal UI controls. Implemented sensor-driven controls using Android gyroscope, accelerometer, and attitude data, with an InputData structure, UI feedback, reference reset, and robust error handling. Added microphone input with loudness processing and integrated it into the SensorsInput flow. Completed initial Android project setup and configuration for sensor input handling. No critical bugs identified this period; focus now on stabilization, performance tuning, and QA validation.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance68.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
C#C++Unity
Technical Skills
Android DevelopmentAudio InputBuild System ConfigurationC# ScriptingFMODInput SystemMobile DevelopmentSensor IntegrationUI DevelopmentUnityUnity Development
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