Magnetometer (2024)

1. Introduction

Magnetometer extends the Generic Sensor API [GENERIC-SENSOR] to provide information about the magnetic field as detected by the device’s primary magnetometer sensor.The magnetometer sensor measures the magnetic field for all threephysical axes (x, y, z) in μT (micro Tesla).

This specification defines two new interfaces:

Magnetometer that reports calibrated magnetic field values, and
UncalibratedMagnetometer that reports uncalibrated magnetic field values.

The magnetic field is a field that exerts magnetic force on magnetometer sensordue to the magnetic effect generated by electric currents, magnetic materials or Earth’s magneticforce that is attributed to the combined effects of the planetary rotation and the movement of molteniron in the Earth’s core.

Hard iron distortion is created by objectsthat produce a magnetic field, such as magnetized iron.

Soft iron distortion stretches or distorts the magnetic field and is caused by metals such asnickel and iron.

The calibrated magnetic field is a magnetic field with hard iron distortion and soft iron distortion correction applied.

The uncalibrated magnetic field is the magnetic field without hard iron distortion correction and with soft iron distortion correction applied,and as such reports changes in the magnetic field caused by magnetized objects moving near the magnetometer.

2. Examples

let sensor = new Magnetometer();sensor.start();sensor.onreading = () => { console.log("Magnetic field along the X-axis " + sensor.x); console.log("Magnetic field along the Y-axis " + sensor.y); console.log("Magnetic field along the Z-axis " + sensor.z);};sensor.onerror = event => console.log(event.error.name, event.error.message);

3. Security and Privacy Considerations

Magnetometer provides information about magnetic field, and in theory, can expose location of auser. For example, attack vector could be pre-magnetized surface in a particular location, ormapping between location and constant magnetic field disturbances caused by the building. Dueto non-uniform strength of the Earth’s magnetic field, another attack vector could be exposure orvalidation of the user’s location. For example, if the end user is connected through VPN, magneticfield associated with geo IP information can be compared with magnetometer readings at reallocation, therefore, tell whether user is using VPN or not. Implementors should be aware of potential risk of side-channel leaks via the correlations of magnetic field strength and other aspects such as CPU execution, which under certain circ*mstances may potentially leak the information about used applications or websites visited in other tabs. [MAGSPY]

Uncalibrated magnetometer readings could be affected by magnetized objects nearby, such as jewelry,thereby exposing information that might be used for keystroke monitoring.

To mitigate these specific threats, user agents shoulduse one or both of the following mitigation strategies:

limit maximum sampling frequency
reduce accuracy of sensor readings

These mitigation strategies complement the generic mitigations defined inthe Generic Sensor API [GENERIC-SENSOR].

4. Permissions Policy integration

This specification utilizes the policy-controlled feature identified by the string "magnetometer" defined in [DEVICE-ORIENTATION].

5. Model

The Magnetometer sensor type has the following associated data:

Extension sensor interface: Magnetometer
Sensor permission names: "magnetometer" (defined in [DEVICE-ORIENTATION])
Sensor feature names: "magnetometer" (defined in [DEVICE-ORIENTATION])
Permission revocation algorithm: Invoke the generic sensor permission revocation algorithm with "magnetometer".
Virtual sensor type: "magnetometer"

The latest reading for a Sensor whose sensor type is Magnetometer must include:

Three entries whose keys are "x", "y", "z" and whose values contain magnetic field about the corresponding axes.

The Uncalibrated Magnetometer sensor type has the following associated data:

5.1. Reference Frame

The local coordinate system represents the reference frame for the Magnetometer and the UncalibratedMagnetometer readings.It can be either the device coordinate system or the screen coordinate system.

6. API

6.1. The Magnetometer Interface

[SecureContext, Exposed=Window]interface Magnetometer : Sensor { constructor(optional MagnetometerSensorOptions sensorOptions = {}); readonly attribute double? x; readonly attribute double? y; readonly attribute double? z;};enum MagnetometerLocalCoordinateSystem { "device", "screen" };dictionary MagnetometerSensorOptions : SensorOptions { MagnetometerLocalCoordinateSystem referenceFrame = "device";};

The new Magnetometer(sensorOptions) constructor steps are to invoke the construct a magnetometer object abstract operation with this and sensorOptions.

Supported sensor options for Magnetometer are "frequency" and "referenceFrame".

6.1.1. Magnetometer.x

The x attribute of the Magnetometer interface represents the magnetic field around X-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "x" as arguments.

6.1.2. Magnetometer.y

The y attribute of the Magnetometer interface represents the magnetic field around Y-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "y" as arguments.

6.1.3. Magnetometer.z

The z attribute of the Magnetometer interface represents the magnetic field around Z-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "z" as arguments.

6.2. The UncalibratedMagnetometer Interface

[SecureContext, Exposed=Window]interface UncalibratedMagnetometer : Sensor { constructor(optional MagnetometerSensorOptions sensorOptions = {}); readonly attribute double? x; readonly attribute double? y; readonly attribute double? z; readonly attribute double? xBias; readonly attribute double? yBias; readonly attribute double? zBias;};

The new UncalibratedMagnetometer(sensorOptions) constructor steps are to invoke the construct a magnetometer object abstract operation with this and sensorOptions.

Supported sensor options for UncalibratedMagnetometer are "frequency" and "referenceFrame".

6.2.1. UncalibratedMagnetometer.x

The x attribute of the UncalibratedMagnetometer interface represents the uncalibrated magnetic field around X-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "x" as arguments.

6.2.2. UncalibratedMagnetometer.y

The y attribute of the UncalibratedMagnetometer interface represents the uncalibrated magnetic field around Y-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "y" as arguments.

6.2.3. UncalibratedMagnetometer.z

The z attribute of the UncalibratedMagnetometer interface represents the uncalibrated magnetic field around Z-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "z" as arguments.

6.2.4. UncalibratedMagnetometer.xBias

The xBias attribute of the UncalibratedMagnetometer interface represents the hard iron distortion correction around X-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "xBias" as arguments.

6.2.5. UncalibratedMagnetometer.yBias

The yBias attribute of the UncalibratedMagnetometer interface represents the hard iron distortion correction around Y-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "yBias" as arguments.

6.2.6. UncalibratedMagnetometer.zBias

The zBias attribute of the UncalibratedMagnetometer interface represents the hard iron distortion correction around Z-axis.In other words, this attribute returns the result of invoking get value from latest reading with this and "zBias" as arguments.

7. Abstract Operations

7.1. Construct a magnetometer object

input

object, a Magnetometer or UncalibratedMagnetometer object

8. Automation

This section extends Generic Sensor API § 9 Automation by providing Magnetometer-specific virtual sensor metadata.

8.1. Magnetometer automation

The per-type virtual sensor metadata map must have the following entry:

key: "magnetometer"
value: A virtual sensor metadata whose reading parsing algorithm is parse XYZ reading.

8.2. Uncalibrated Magnetometer automation

The per-type virtual sensor metadata map must have the following entry:

key: "uncalibrated-magnetometer"
value: A virtual sensor metadata whose reading parsing algorithm is the uncalibrated magnetometer reading parsing algorithm.

8.2.1. Uncalibrated Magnetometer reading parsing algorithm

input: parameters, a JSON Object
output: A sensor reading or undefined

Let reading be the result of parse XYZ reading with parameters.
If reading is undefined.
1. Return undefined.
Let keys be the list « "xBias", "yBias", "zBias" ».
For each key of keys
1. Let value be the result of invoking parse single-value number reading with parameters and key.
  1. If value is undefined.
    1. Return undefined.
2. Set reading[key] to value[key].
Return reading.

9. Limitations of Magnetometer Sensors

This section is non-normative.

The direction and magnitude of the Earth’s field changes with location, latitude in particular. For example,the magnitude is lowest near the equator and highest near the poles.Some hard-iron interference, meaning presence of permanent magnets (e.g. magnets in the speaker of a phone) in the vicinity of the sensoralso affects the accuracy of the reading.Presence of electronic items, laptops, batteries, etc also contribute to the soft iron interference.Flight Mode option in mobile phones might help in decreasing the electro magnetic interference.

In addition to the above spatial variations of the magnetic field, time based variations,like solar winds or magnetic storms, also distort the magnetosphere or external magnetic field of the Earth.

10. Use Cases and Requirements

This section is non-normative.

Magnetometers can be used for a variety of use-cases, for example:

Sensor fusion. A common use-case for magnetometers is sensor fusion in order to generate an Absolute Orientation Sensor [MOTION-SENSORS] which is stationary to the Earth plane, or a compass, which is basically the former with corrections to the declination depending on geolocation position, such that it points to the true north. Calculating compass heading as detailed in § 11 Compass Heading Using Magnetometers.
Virtual Reality and Augmented Reality. Magnetometer can be used to implement input using magnetic button for VR enclosures [VRBUTTON]. Head-mount tracking systems for VR and AR can use magnetometer data to help in calibration of gyroscope readings and align yaw readings with the magnetic north.
Gesture recognition. Various interactions like writing, signing and playing an instrument can also be enabled using a magnet like a rod, pen or a ring [MAGITACT].The user makes coarse gestures in the 3D space around the device using the magnet. Movement of the magnet affects the magnetic field sensed by the compass sensor integrated in the device.The temporal pattern of the gesture can be used as a basis for sending different interaction commands to the mobile device. Zooming, turning pages, accepting/rejecting calls, clicking itemsare some of the use cases.
Indoor navigation. Navigation systems can use magnetometer data on mobile devices [MAGINDOORPOS] to detect the magnetic field inside a building. With sufficient local variability, the anomalies can be utilized in self-localization. Use cases for indoor navigation include, for example, proximity advertising, way finding in malls or airports, and geofencing.
Metal detection. Magnetometers can be used by utility applications to detect the presence of metal nearby, e.g. finding inclusions hidden within objects.

Requirements with respect to data coarseness and sampling frequency can vary depending on the use case at hand. For example, metal detection or input using magnetic button can likely be implemented with coarser data and using lower sampling frequency compared to gesture recognition, indoor navigation, or VR and AR use cases. In sensor fusion use cases, the sampling frequency that yeilds optimal results is dependent on e.g. sensor fusion algorithm and characteristics of other motion sensors involved.

11. Compass Heading Using Magnetometers

This section is non-normative.

Compasses, instruments that align themselves with the magnetic poles of the Earth, have been used in navigation for centuries.The Earth’s rotational axis defines the geographic north and south poles that we use formap references. It turns out that there is a discrepancy of around 11.5 degrees (around 1000 miles) between the geographic poles and themagnetic poles. Declination angle is applied to the magnetic direction to correct for this situation.

If the device is always level to the Earth’s surface, compass heading can be determined by using just the x and y component of the Earth’s magnetic field, thatis, the directions planar with the Earth’s surface.To determine geographic north (or true north) heading, add the appropriate declination angle.

Magnetic declination or declination angle is the angle on the horizontal plane between magnetic north and the true north and depends on the position on the Earth’s surface, and changes over time.By convention, declination is positive when magnetic north is east of true north, and negative when it is to the west. You can get real time value for magnetic declination e.g. using the Magnetic declination calculator provided by the National Oceanic and Atmospheric Administration (NOAA).

The magnetic north is calculated as follows:

let sensor = new Magnetometer();sensor.start();let heading = Math.atan2(sensor.y, sensor.x) * (180 / Math.PI);console.log('Heading in degrees: ' + heading);

The geographic north at a given latitude and longitude can be calculated as follows:

// Get the latitude and longitude, omitted for brevity here.let latitude = 0, longitude = 0;// Get the magnetic declination at the given latitude and longitude.fetch('https://www.ngdc.noaa.gov/geomag-web/calculators/calculateDeclination' + '?lat1=' + latitude + '&lon1=' + longitude + '&resultFormat=csv') .then(response => response.text()).then(text => { let declination = parseFloat(text.replace(/^#.*$/gm, '').trim().split(',')[4]); // Compensate for the magnetic declination to get the geographic north. console.log('True heading in degrees: ' + (heading + declination));});

Note: If the device is not level to the Earth’s surface, a developer needsto apply various tilt compensation techniques for which she needs a 3-axisaccelerometer. Data from the orientation sensor, which is a fusion of theaccelerometer and magnetometer sensors, is required to implement thisparticular use case.

12. Acknowledgements

Tobie Langel for the work on Generic Sensor API.

13. Conformance

Conformance requirements are expressed with a combination ofdescriptive assertions and RFC 2119 terminology. The key words "MUST","MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT","RECOMMENDED", "MAY", and "OPTIONAL" in the normative parts of thisdocument are to be interpreted as described in RFC 2119.However, for readability, these words do not appear in all uppercaseletters in this specification.

All of the text of this specification is normative except sectionsexplicitly marked as non-normative, examples, and notes. [RFC2119]

A conformant user agent must implement all the requirementslisted in this specification that are applicable to user agents.

The IDL fragments in this specification must be interpreted as required forconforming IDL fragments, as described in the Web IDL specification. [WEBIDL]