Data Processor

As mentioned in the Data Route page, the data processor can perform simple calcutaions on the data before passing it to the user. Adding and configuring processors is handled with the RouteBuilder api and the DataProcessor interface is used to interact with the processors that were tagged with the name component.

import com.mbientlab.metawear.module.DataProcessor;

final DataProcessor dataproc = board.getModule(DataProcessor.class);

Modifying Processors

Some processors have parameters that can be modified after they are created. Call edit using the same string passed into the name component and the type of editor to return. Make sure the editor class is appropriate for the desired processor.

Processor	Editor	Editable Parameters
Accumulate	AccumulatorEditor	Accumulated sum
Average	AverageEditor	Sample size, reset running avg
Comparison	ComparatorEditor	Comparison operation, reference values
Counter	CounterEditor	Accumulated count
Differential	DifferentialEditor	Minimum distance
Map	MapEditor	Right hand value for 2 op functions
Passthrough	PassthroughEditor	Passthrough type and value
Pulse	PulseEditor	Threshold and min sample size
Threshold	ThresholdEditor	Boundary and hysteresis
Time	TimeEditor	Period

import com.mbientlab.metawear.module.DataProcessor.CounterEditor;

// assume route built with
// .count().name("counter")

// reset internal count
dataproc.edit("counter", CounterEditor.class).reset();

Internal State

Some processors have an internal state, represented as a forced data producer. These state data producers are retrieved with the state method using the same string passed into the name component.

Processor	Description
Accumulate	Current accumulated sum
Buffer	Last received input
Counter	Current accumulated count
Passthrough	Value parameter

// assume route built with
// .buffer().name("buffer")

// access the buffer state
ForcedDataProducer producer = dataproc.state("buffer")