This project uses digital mapping to map the movement of a person with an IMU module, as well as our most-loved SBC.

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IMU module
(Image credit: MaxJTihomirov)

Raspberry Pi can be used to track a wide range of things thanks to their connectivity to hundreds of sensors and modules. While most projects focus on monitoring simple data streams, such as humidity or temperature, this project from maker MaxJTihomirov, known on Reddit, has an even more intricate measurement. Utilizing the IMU module, MaxJTihomirov uses the Raspberry Pi 4 to observe physical movements within 3D spaces digitally.

According to MaxJTihomirov, the project is in the test phase as the code isn’t available for sharing. However, the project has entered a crucial stage of development, with a functioning demonstration released by MaxJTihomirov, which shows the digitally traced lines within a 3D environment. Tracking 3D movements can be used in various applications, like virtual reality controller input devices, drones, and even drones.

The project uses a Raspberry Pi 4, an Intertial Measurement Unit IMU module, and a Nucleo board. The IMU module includes tools such as an accelerometer and gyroscope, which the Pi can gather information about its position. In a blog post, MaxJTihomirov explains the Nucleo board is essential to prevent problems with a frequency that Raspberry Pi causes. Raspberry Pi. These issues could influence the accuracy of measurement of this IMU module.

IMU module
Raspberry Pi (Image credit: MaxJTihomirov)

If you want to know more about the exactness of the work, MaxJTihomirov describes the outcomes are largely dependent on the quality of the IMU module and frequency interference. Filters can help refine IMU da. MaxJTihomirovov tests the current configuration using Kalman, Mahony, and Madgwick filters.

The source code isn’t publicly available, but plans are underway to release additional information as the project develops. The exact steps will differ based on the IMU module used in the library, as it will differ between different manufacturers. In this case, MaxJTihomirov uses an MP-9250 module, a 9-axis IMU which incorporates three accelerometers, including a gyroscope and magnetometer. Other IMUs could work equally well; however, the more sensor data is available, the more precise 3D tracking will be.

Go to the original thread posted on Reddit to get more details on this Raspberry Pi idea. Make certain to keep an eye on MaxJTihomirov for any updates to come.