← All work

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.

Course
SE 498, AI-Driven Intelligent Systems
Team
Jude Welsch, Joshua Jimenez, Ray Chang
My role
Dashboard · signal processing
01 / Pipeline

From recording to reviewable data

  1. InputWAV recording

    Streamed and analyzed in bounded file chunks.

  2. AlignEvent timing

    Integer nanosecond timestamp subtraction.

  3. MeasureSignal measurements

    Interval measurements across the session.

  4. ReviewPlots + session checks

    Sample-rate and checksum integrity checks, interval exports.

02 / Work

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.

Scope

The dashboard is part of a larger team pipeline. Its measurements are signal-analysis outputs, not a completed or validated exertion prediction.