Editorial pass, update informative references, fix broken links #47
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- Editorial Use Cases and Requirements update, remove RFC 2119 terms, s/earth/Earth/g - Avoid redundant redirects: https://w3c.github.io/sensors -> https://w3c.github.io/sensors/ https://w3c.github.io/accelerometer -> https://w3c.github.io/accelerometer/ - Fix Broken fragments: https://w3c.github.io/sensors#sensor-readings - Reduce informative references to scientific papers - Explicitly note "This section is non-normative" in: Use Cases and Requirements Compass Heading Using Magnetometers
riju
approved these changes
Mar 14, 2018
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| - In cases, where it is not possible to use orientation sensor, user may need to fuse magnetometer data with with other low-level sensor data, to calculate orientation. | ||
| - Indoor navigation system may use magnetometer on mobile phones [[MAGINDOORPOS]]. Specific use cases for indoor navigation may include proximity advertising, way finding in malls or airports, geofencing, etc. | ||
| - Calculating compass heading, more on that in [[#compass]]. | ||
| - A common use-case for magnetometers is sensor fusion in order to generate an Orientation Sensor 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. |
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Do you want to link to the Orientation Sensor spec (https://www.w3.org/TR/orientation-sensor/) , AbsoluteOrientationSensor to be specific, denoting that if sensor hub/hardware is unable to provide us and we use sensor fusion ourselves.
riju
approved these changes
Mar 15, 2018
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| Head mount tracking in Virtual Reality may require sensor fusion from accelerometer, gyroscope and magnetometer. Magnetometer data may be used to help in calibration of gyroscope readings | ||
| and align yaw readings with the magnetic north. The required sampling rate might depend on the sensor fusion algorithm and characteristics of other motion sensors involved. | ||
| <div class="note"> | ||
| Requirements with respect to data coasrceness 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. |
- Add informative reference: Absolute Orientation Sensor [MOTION-SENSORS] - Reorder use cases - Editorial updates
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https://w3c.github.io/sensors -> https://w3c.github.io/sensors/
https://w3c.github.io/accelerometer -> https://w3c.github.io/accelerometer/
https://w3c.github.io/sensors#sensor-readings
Use Cases and Requirements
Compass Heading Using Magnetometers
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