Crate elata_rppg 

Remote photoplethysmography (rPPG) core for the Elata SDK.

This crate contains the Rust-side processing pipeline used to estimate pulse-related metrics from RGB intensity samples captured over time.

Main entry points

• RppgPipeline buffers timestamped samples and computes windowed metrics
• harmonic_probability_check provides harmonic validation helpers
• SubjectModel and ParticleFilter expose supporting estimation tools

Example

use elata_rppg::RppgPipeline;

let mut pipeline = RppgPipeline::new(30.0, 8.0);

for i in 0..300 {
    let t_ms = i * 33;
    pipeline.push_sample_rgb(t_ms, 0.52, 0.61, 0.47, 0.95);
}

let metrics = pipeline.get_metrics();
let _ = metrics.bpm;

This crate is intended to be embedded by higher-level WASM, FFI, or native application layers rather than used as an end-user camera capture API.

Re-exports

pub use harmonic::harmonic_probability_check;

pub use harmonic::HarmonicCheckResult;

pub use pipeline::RppgPipeline;

pub use subject_model::SubjectModel;

pub use tracker::ParticleFilter;

Modules

benchmark

Benchmark framework for harmonic selection and HR estimation algorithms.

dsp

harmonic

pipeline

subject_model

tracker