editor's blog
Subscribe Now

New Sensor Parameter Standard

Early this year we took a look at MEMS standards (or the need therefor), and one of the active efforts involved unifying sensor parameters and data sheets so that users could compare and combine different sensors from different companies – a challenging task at present.

Well, that effort has now yielded some results. The “Sensor Performance Parameter Definitions” document has been released under the auspices of the MEMS Industry Group (MIG). The effort itself was led by Intel and Qualcomm, with input from a number of different sensor players.

While many such standards documents start with a limited scope and just can’t stop, a quick look at the table of contents suggests that hasn’t happened here. The bulk of the document is simply a set of definitions for parameters for different sensors. It is augmented by helpful lists of terms and acronyms, symbols and equations, and measurement conversions.

The sensors covered by the document are:

  • Accelerometers
  • Magnetometers
  • Gyroscopes
  • Pressure Sensors
  • Humidity Sensors
  • Temperature Sensors
  • Ambient Light Sensors
  • Proximity Sensors

This seems to cover all of the Windows HID-required sensors (since inclinometers and orientation sensors are typically fused versions of the above) except for GPS.

Each sensor type has its own parameters. For example, the following parameters are defined for accelerometers:

  • Full Scale Range
  • Digital Bit Depth
  • Zero-g Offset
  • Zero-g Offset Temperature Coefficient
  • Sensitivity
  • Sensitivity Temperature Coefficient
  • Noise
  • Current Consumption
  • Output Data Rate (ODR)
  • Filter -3dB Cutoff
  • Internal Oscillator Tolerance
  • Cross-Axis Sensitivity
  • Integral Non-Linearity
  • Transition Time
  • Data Ready Delay

For each parameter, the following information is provided:

  • Any aliases or other names for the parameter
  • A definition
  •  Conditions under which the parameter is specified (typically more than one)
  • Distribution (e.g., minimum/typical/maximum)

Various timing diagrams and other graphs are used to illustrate the parameters.

And that’s pretty much all there is to it.  A modest 60 pages (with lots of whitespace, easy to read). As promised, no more, no less.

You can find more on the announcement in their release; the document is available for download on the MIG website (you’ll need to provide your info).

Leave a Reply

featured blogs
Jan 21, 2022
Here are a few teasers for what you'll find in this week's round-up of CFD news and notes. How AI can be trained to identify more objects than are in its learning dataset. Will GPUs really... [[ Click on the title to access the full blog on the Cadence Community si...
Jan 20, 2022
High performance computing continues to expand & evolve; our team shares their 2022 HPC predictions including new HPC applications and processor architectures. The post The Future of High-Performance Computing (HPC): Key Predictions for 2022 appeared first on From Silico...
Jan 20, 2022
As Josh Wardle famously said about his creation: "It's not trying to do anything shady with your data or your eyeballs ... It's just a game that's fun.'...

featured video

AI SoC Chats: Understanding Compute Needs for AI SoCs

Sponsored by Synopsys

Will your next system require high performance AI? Learn what the latest systems are using for computation, including AI math, floating point and dot product hardware, and processor IP.

Click here for more information about DesignWare IP for Amazing AI

featured paper

Enhancing PSAP Audio Performance and Power Efficiency in Hearables with Anti-Noise

Sponsored by Analog Devices

PSAP enhances user's listening experiences with hearables in challenging environments. Long delay in the audio system creates distortion known as comb effect in PSAP. This paper investigates the root cause of the comb effect and explains how a new anti-noise device yields a superior system performance compared to conventional PSAP solutions.

Click here to read more

featured chalk talk

Simplifying Brushless Motor Controls with Toshiba Motor Control Solutions

Sponsored by Mouser Electronics and Toshiba

Making sure your motor control design is efficient and ready for primetime can be a complicated process. In this episode of Chalk Talk, Amelia Dalton chats with Alan Li from Toshiba about the basics of brushless motor control, more advanced variables including lead angle control and intelligent phase control and most importantly, how you can simplify your next brushless motor control design.

Click here for more information about Toshiba Brushless Motor Driver ICs