Grove - 3-Axis Digital Accelerometer(±1.5g)


3.3V 5.0V I2C
Grove - 3-Axis Digital Accelerometer v1.2
Grove - 3-Axis Digital Accelerometer v1.2b

3-Axis Digital Accelerometer is the key part in projects like orientation detection, gesture detection and Motion detection. This 3-Axis Digital Accelerometer(±1.5g) is based on Freescale’s low power consumption module, MMA7660FC. It features up to 10,000g high shock survivability and configurable Samples per Second rate. For generous applications that don’t require too large measurement range, this is a great choice because it’s durable, energy saving and cost-efficient.


  • Working voltage: 3.0 - 5.5V
  • Off Mode Current: 0.4μA
  • Standby Mode Current: 2μA
  • Active Mode Current: 47 μA at 1 ODR
  • Test Range: ±1.5g
  • Sensitivity: 21LSB/g
  • Suli-compatible Library


More details about Grove modules please refer to Grove System

Platforms Supported


For more details about Suli-compatible Library, please refer to Suli.


With Arduino

Here we are going to show you how to get raw data and data measured by “g” from this sensor. 

Connect this module to the I2C port of Grove - Base Shield via a Grove cable.


If you want to activate the Interrupt function of this module, you need to connect the INT soldering pad we broke out on the board with a pin of Arduino that's capable of Interrupt Service Routine. 

Install the library we provide in the Resources section.

Open the code directly by the path:File -> Example ->DigitalAccelerometer_MMA7660FC ->MMA7660FC_Demo.

In this program, acceleration information are sent from the sensor to Seeeduino via I2C bus and then Seeeduino printed them onto the serial monitor. Open the serial monitor to check the result.

The outputs of this sensor consist of two parts: raw data and 3-axis acceleration info converted into the unit of gravity, “g”.

With Raspberry Pi

1.You should have got a raspberry pi and a grovepi or grovepi+.

2.You should have completed configuring the development enviroment, otherwise follow here.


  • Plug the sensor to grovepi socket i2c-x(1~3) by using a grove cable.

4.Navigate to the demos’ directory:

   cd yourpath/GrovePi/Software/Python/
  • To see the code
    nano   # "Ctrl+x" to exit #
    import time
    import grovepi

    # Connect the Grove Accelerometer (+/- 1.5g) to any I2C port eg. I2C-1
    # Can be found at I2C address 0x4c

    while True:
            print grovepi.acc_xyz()

        except IOError:
            print "Error"

5.Run the demo.

    sudo python


Below are two figures helping you understand the physical meaning of the result.

The first figure is about the direction of each axis:

The second figure gives some examples:


ArduinoWioBeagleBoneRaspberry PiLinkIt ONE


The platforms mentioned above as supported is/are an indication of the module's hardware or theoritical compatibility. We only provide software library or code examples for Arduino platform in most cases. It is not possible to provide software library / demo code for all possible MCU platforms. Hence, users have to write their own software library.

Help us make it better

Thank you for choosing Seeed. A couple of months ago we initiated a project to improve our documentation system. What you are looking at now is the first edition of the new documentation system. Comparing to the old one, here is the progresses that we made:

  • Replaced the old documentation system with a new one that was developed from Mkdocs, a more widely used and cooler tool to develop documentation system.
  • Integrated the documentation system with our official website, now you can go to Bazaar and other section like Forum and Community more conveniently.
  • Reviewed and rewrote documents for hundreds of products for the system’s first edition, and will continue migrate documents from old wiki to the new one.

An easy-to-use instruction is as important as the product itself. We are expecting this new system will improve your experience when using Seeed’s products. However since this is the first edition, there are still many things need to improve, if you have any suggestions or findings, you are most welcome to submit the amended version as our contributor or give us suggestions in the survey below, Please don’t forget to leave your email address so that we can reply.

Happy hacking