// the recording manager singleton
let loco = LocomotionManager.highlander

// decide which Core Motion features to include
loco.recordPedometerEvents = true
loco.recordAccelerometerEvents = true
loco.recordCoreMotionActivityTypeEvents = true

// decide whether to use "sleep mode" to allow for all day recording 
loco.useLowPowerSleepModeWhileStationary = true

// start recording 
loco.startRecording()

when(loco, does: .locomotionSampleUpdated) { _ in

    // the raw CLLocation
    print(loco.rawLocation)

    // a more usable, de-noised CLLocation
    print(loco.filteredLocation)

    // a smoothed, simplified, combined location and motion sample
    print(loco.locomotionSample())
}

when(loco, does: .movingStateChanged) { _ in
    if loco.movingState == .moving {
        print("started moving")
    }

    if loco.movingState == .stationary {
        print("stopped moving")
    }
}

let noteCenter = NotificationCenter.default
let queue = OperationQueue.main 

// watch for updates
noteCenter.addObserver(forName: .locomotionSampleUpdated, object: loco, queue: queue) { _ in
    // do stuff
}

// fetch a geographically relevant classifier
let classifier = ActivityTypeClassifier(coordinate: location.coordinate)

// classify a locomotion sample
let results = classifier.classify(sample)

// get the best match activity type
let bestMatch = results.first

// print the best match type's name ("walking", "car", etc)
print(bestMatch.name)