You can also use the UART interface at up to 3 Mbps or a simplified UART called UART-RVC (Used for robotic vacuum cleaners) which can run at a data rate of 115200 kbps. Tie to 3.3V to change I 2C address from 0x4A to 0x4BĬhip select, active low, used as chip select on SPIĪctive low, Used to wake the processor from a sleep mode. Device receives data from the microcontroller on this line. Device sends data to the controller on this line.Ĭontroller out, peripheral in.
Pin LabelĬlock signal to synchronize controller and peripheral.Ĭontroller in, peripheral out. You can also see OSHWA's resolution here. Check out this page for more on our reasoning behind this change. SparkFun has joined with other members of OSHWA in a resolution to move away from using "Master" and "Slave" to describe signals between the controller and the peripheral. Note: You may not recognize the COPI/CIPO labels for SPI pins. On any pin, the voltage should not exceed that supplied on the 3V3 pin. The pins for this interface are outlined below. Interrupt, active low, pulls low when the BNO080 is ready for communication.Īlso broken out on the board is a Serial Peripheral Interface (SPI) which can run data up to 3MHz. Reset signal, active low, pull low to reset IC Voltage should not exceed power supply (e.g. Pin LabelĬonfiguration of the communication interface (Default: 0, I 2C)īi-directional data line. There are multiple rows of pins on the BNO080, the first row, used for the default I 2C interface (configurable up to 400 kHz) is explained in the table below. CharacteristicĠx4B (S0 Pulled High) or 0x4A (S0 grounded) Let's look over a few characteristics of the BNO080 sensor so we know a bit more about how it behaves. To get started, you'll need a microcontroller to, well, control everything. A bonus example is provided in Processing to show us how to use quaternion data to orient a cube. Finally, we'll examine how to configure the sensor on different I 2C ports and addresses. Printing out raw packets will also be examined for debugging purposes. The examples will also show how to calibrate our hardware to give us the most accurate readings possible. Sitting still, moving, biking, walking, running, etc.) and how confident the IMU is that each activity is being performed.
Knowing what activity you're performing is important so we'll learn how to classify what activity the IMU is performing (i.e. We'll also read Q values and various other metadata from the sensor. We'll check out how to implement the step counter on the BNO080 in order to use it as a pedometer. In this hookup guide, we'll connect our sensor up to our microcontroller of choice and separately read the rotation vectors (which is what we will mainly want), acceleration vectors, gyro values, and magnetometer vectors.
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