iMove - instrumented Movement analysis

iMove (intrumented Movement) is a free and open-source biomechanics and movement analysis tool using low-budget consumer-grade devices (webcams, IMUs, phones) for clinical use, scientific research, and training.

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iMove is written in Python and uses Qt6 QML for it's responsive, tablet friendly, and cross-platform user interface. iMove stands on the shoulders of giants and employs other fantastic open-source software like FFmpeg, OpenCV, Anipose, and more.

Detect and interface with IMU sensors (here Movella DOT) using the bluetooth protocol. A plugin system to add support for other sensors is also underway.

^{Scanning for nearby bluetooth sensors and connecting to them.}

Motion-BIDS data structure for storing the measurements.

^{BIDS-based subject and session management.}

Easily setup a multi camera capture session by assigning proper IDs to cameras, setting the camera specific supported frame rate and resolution, and configuring auto fucos, exposure, and other camera parameters.

^{Auto detection of cameras, ID assignment, and configuration.}

Record calibration videos and see a preview of your calibration board live.

^{Recording calibration videos while receiving feedback on how much of the field of view of each camera has been covered.}

Record the subject's movements across tirals and inspect the sensor movement in real time.

^{Recording a drinking task with live preview of the cameras and the IMU sensor.}

Reuse calibration across sessions and get a preview of the cameras that were used for the calibration along with their IDs.

^{Avoid recalibration by using the calibration data from previous sessions.}

Synchronize low-cost consumer-grade cameras to within 8ms of one another without any special hardware.

^{Measuring multicam software synchronization.}

^{Example of video frames form multiple cameras across time.}

^{Example of video frames form multiple cameras across time.}