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 Pérez 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 model with robust error handling and real-time UI feedback. Diego also incorporated microphone input with loudness processing, merging audio and sensor data into a centralized input flow. Using C#, Unity, and FMOD, he completed the initial Android project setup and build configuration, laying a solid foundation for future expansion while prioritizing stability, performance tuning, and quality assurance validation.
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
41 people
Work 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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