Class DataFrame

A data frame is information that is passed through each node in a positioning model.

DataFrame content

Usage

Creation

A data frame can be created with an optional source DataObject that represents the object responsible for generating the frame.

const dataFrame = new DataFrame(new DataObject("phone"));

Creating a custom DataFrame

Custom data frames can be created by extending the default DataFrame class. Important when handling data frames (and objects) is to add serializable decorators.

import { DataFrame, SerializableObject, SerializableArrayMember } from '@openhps/core';

@SerializableObject()
export class CustomDataFrame extends DataFrame {
    @SerialisableArrayMember(Number)
    public customFrameAttribute: number[];
}

Adding DataObjects

Adding data object will clone the data objects to the data frame. Any changes made to the object after cloning will not be applied to the data frame.

Constructors

constructor

Properties

createdTimestamp phenomenonTimestamp? uid

Accessors

source

Methods

addObject addReferenceSpace addSensor clearObjects clone getObjectByUID getObjects getSensor hasObject removeObject

Constructors

constructor

Properties

createdTimestamp

createdTimestamp: number

Data frame created timestamp (ISO 8601)

Optional phenomenonTimestamp

phenomenonTimestamp?: number

Data frame sensor data pheonomenon timestamp (ISO 8601)

uid

uid: string = ...

Data frame unique identifier

Accessors

source

Methods

addObject

addReferenceSpace

  • addReferenceSpace(referenceSpace): void

  • Add a new reference space relevant to this data frame.

    Parameters

    Returns void

    Alias

    addObject Alias for addObject

addSensor

clearObjects

  • clearObjects(objectFilter?): void

  • Clear all objects

    Parameters

    • Optional objectFilter: ((object) => boolean)

      object filter

        • (object): boolean

        • Parameters

          Returns boolean

    Returns void

clone

getObjectByUID

  • getObjectByUID<T>(uid): T

  • Get a specific object by its identifier

    Type Parameters

    Parameters

    • uid: string

      Object UID

    Returns T

    Data object if found

getObjects

  • getObjects<T>(dataType?): T[]

  • Get known objects used in this data frame

    Type Parameters

    Parameters

    • Optional dataType: (new () => T)

      Data object type

        • new (): T

        • Returns T

    Returns T[]

    Array of found data objects

getSensor

  • getSensor<T>(type, defaultUID?): T

  • Get known sensor objects used in this data frame

    Type Parameters

    Parameters

    • type: (new (uid?) => T)

      Sensor type

        • new (uid?): T

        • Parameters

          • Optional uid: string

          Returns T

    • Optional defaultUID: string

      Default UID. When sensor is not added, it will be created

    Returns T

    Found data objects

hasObject

  • hasObject(object): boolean

  • Check if the data frame has an object

    Parameters

    Returns boolean

    Object exist

removeObject

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