UIUC SE 498 · Fall 2026 · Team project
Audio Rate analysis dashboard.
Our team is exploring exercise-exertion estimation from breathing audio. I work on the analysis dashboard, signal processing, data analysis, and connections between devices.
My contribution
I developed the browser-based post-capture analysis dashboard, including streamed WAV processing, interval signal measurements, event alignment, and session-integrity checks.
- Analyze recordings in bounded file chunks rather than retaining a full recording sample array.
- Align captured events to audio using integer nanosecond timestamp subtraction.
- Check recording sample rates against session metadata and verify supplied file checksums.
- Support analysis plots and interval exports for reviewing recorded sessions.
Engineering focus
My work focuses on making captured data inspectable: preserving timing, handling large recordings, and exposing signal measurements and session inconsistencies before downstream analysis.
The dashboard is part of a larger team pipeline. Its measurements are signal-analysis outputs, not a completed or validated exertion prediction.
Project record
Team: Jude Welsch, Joshua Jimenez, Ray Chang
Course: SE 498, AI-Driven Intelligent Systems
Status: dashboard implementation in development; the dashboard is implemented, and validation with complete real-device sessions is still in progress.
Public project repositoryThe public repository currently contains introductory material. Detailed development source is held in the team's working repository.