Contents
What is the IMU responsible for?
An Inertial Measurement Unit (IMU) is a device that can measure and report specific gravity and angular rate of an object to which it is attached. An IMU typically consists of: Gyroscopes: providing a measure angular rate. Accelerometers: providing a measure specific force/acceleration.
Is IMU a sensor?
An IMU is a specific type of sensor that measures angular rate, force and sometimes magnetic field. Technically, the term “IMU” refers to just the sensor, but IMUs are often paired with sensor fusion software which combines data from multiple sensors to provide measures of orientation and heading.
Does an IMU drift?
The IMU orientation is usually obtained by integrating the angular velocity measured with the gyroscope [6,11,13,14,15,16,17]. This allows for immediate detection of orientation changes but leads to a drift of the estimated orientation over time, e.g., due to gyroscope bias [18].
How do I choose an IMU sensor?
Some of the aspects we have to consider when we have to select an IMU are performance, underlying technology, SWaP (Size, Weight, and Power) and Cost. Besides, another important factor in UAVs is the ruggedness of the IMU. In harsh UAV applications, vibrations can reach a high level and different temperatures.
Do you know how to interpret IMU sensor data?
Working with IMUs can maddening for a variety of reasons, but what scares people the most is usually the math. Working with IMUs can maddening for a variety of reasons, but what scares people the most is usually the math. IMU data is useless unless you know how to interpret it.
How are IMU data represented in OpenSim model?
is the corresponding name of the sensor in the OpenSim model. In our example, the first sensor is associated with the torso segment of our model. Each IMU sensor is represented as a Frame in an OpenSim Model, where a Frame is an orthogonal XYZ coordinate system.
How are IMU sensors used in OpenSense kinematics?
IMU sensor systems, like Xsens and APDM, typically provide features that perform sensor fusion, time syncing, and data interpolation for missing entries. The current version of OpenSense assumes that this pre-processing has already been performed and that you are inputting processed rotation matrices.
How to convert IMU data into OpenSense data?
The first step is to collect your data and convert it into a format that you can read into OpenSim and process with the OpenSense workflow. You must place the sensors on your subject, typically with one sensor per tracked segment. For each IMU sensor, you must keep track of which sensor is placed on which body.