Struct CalmnessModel 

pub struct CalmnessModel { /* private fields */ }

Calmness analysis model

Uses the ratio of alpha+theta power to beta power to estimate how calm or alert the user is.

The model outputs a score from 0.0 (very alert) to 1.0 (very calm).

Implementations

impl CalmnessModel

pub fn new(sample_rate: u16) -> Self

Create a new calmness model

pub fn set_smoothing(&mut self, alpha: f32)

Set the smoothing factor (0-1, higher = faster response)

Trait Implementations

impl Model for CalmnessModel

type Output = CalmnessOutput

The output type produced by this model

fn name(&self) -> &str

Get the model name

fn min_samples(&self) -> usize

Get the minimum number of samples required for analysis

fn process(&mut self, buffer: &SampleBuffer) -> Option<Self::Output>

Process a buffer of samples and produce output

fn reset(&mut self)

Reset the model’s internal state

fn is_ready(&self, buffer: &SampleBuffer) -> bool

Check if the model has enough data to produce output