Cadence detection for event-driven accelerometer data
var QuickCadence = require('quickcadence')
// On a Node `streams2` stream, or BaconJS `Observable` stream.
// Returns a BaconJS Observable.
//
// The stream must be object that matches the schema:
// {x: <xAccelValue>, y: <yAccelValue>, z: <zAccelValue>, time: <Date>}
var cadenceStream = QuickCadence.pipe(stream);
cadenceStream.onValue(function(val) { console.log(val) });
// Values emitted are integers of the current cadence calculation.
// `93.22`
// `88.11`
// `79.25` ...var RxCadence = require('quickcadence')
// The stream must be an RxJS Observable that emits values that match
// the following schema:
// {x: <xAccelValue>, y: <yAccelValue>, z: <zAccelValue>, time: <Date>}
var cadenceStream = RxCadence.pipe(stream);
cadenceStream.subscribe(function(val) { console.log(val) });
// Values emitted are integers of the current cadence calculation.
// `93.22`
// `88.11`
// `79.25` ...Power is matched off of the y acceleration axis, which works well for
wrist-mounted accelerometers (watches). Further work can be done to
generalize this algorithm to all-axes calculations.
Put CSV dump of files with other csv files in the samples directory.
Start the dev server to load the data harness:
$ npm start
$ open http://localhost:8080/reference/index.html
$ npm run build
Assets are generated into the builds/ directory.