Inertia integrates and interfaces with various analogue and digital sensors, from MEMS to IEPE accelerometers or generic voltage sensors. Whether it’s about temperature, pressure, GPS or passive infrared sensors, our products have these sensors already integrated, or they offer the possibility to externally connect them.

Wireless Networking

The Inertia wireless protocol is the fastest and best synchronized wireless low-power interface of IMUs on the market. The wireless network of Inertia operates in the 2.4 GHz and has a speed of 4Mbps.

The collision-free MAC protocol is centrally controlled by the Inertia Gateway. Up to 39 ProMove-mini sensor nodes sampling on 14 channels (3D acceleration, 3D high-g acceleration, 3D gyroscope, 3D compass, barometer and temperature) up to 200 Hz per channel send their data in a real-time, synchronized manner to the Inertia Gateway for visualization, logging and post-processing.


Synchronization is a key factor for achieving simultaneous sampling of different measurement points in a wireless network. Our network-wide synchronization has a groundbreaking accuracy of less than 100 ns. That means that all sensor nodes sample at the same time instance across the network. Moreover, the sensor nodes can synchronize with external systems, such as cameras, through the use of the Advanced Inertia Gateway.


Inertia Gateway connects with USB to a computer running Inertia Studio. For custom applications requiring real-time data processing or for a more flexible topology, the Advanced Inertia Gateway supports communication over Raw Ethernet with the computer. The users can develop their own custom applications based on the C++ and Java SDKs made available on our website.

Data Processing

Raw sensor data does not always represent the end goal of a measurement session. Often post-processing is required to get a meaningful representation of the measured process. Besides logging the raw sensor data, Inertia Studio extracts and stores orientation information expressed as Euler angles or quaternions.

Due to the accumulation of errors inherent to any IMU, other data processing algorithms, such as motion tracking and distance measurements, are in general application-specific. On request, we support the development of custom algorithms for different other applications or products.