MetaMotus Galileo
The MetaMotus Galileo system, developed by Fourier Intelligence, is an advanced research and training platform designed for biomechanics, rehabilitation exercises, and sports science. It integrates various cutting-edge technologies, such as a six-axis motion platform, force plate, LED curved screen, adaptive dual-belt treadmill, dynamic weight support, motion capture system, upper and lower limb rehabilitation robots, exercise equipment, and human-computer interaction software. This provides a versatile clinical assessment and rehabilitation training environment using virtual reality and robotics technology for both clinical and research purposes. The Galileo system is suitable for assessing and training a variety of functional impairments in adults and children, including neurological and musculoskeletal injuries, amputations, limb disabilities, cardiorespiratory dysfunction, and degenerative conditions.
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Xsens
Xsens delivers proven motion capture and analysis systems for a large variety of users. Read more about motion capture on this page. Xsens motion analysis technology is available in full-body 3D kinematics solutions & 3D motion trackers to integrate in your real-time applications. Motion Capture (also referred to as mo-cap or mocap) is the process of digitally record the movement of people. It is used in entertainment, sports, medical applications, ergonomics and robotics. In film-making and game development, it refers to recording actions of actors for animations or visual effects. A famous example of a movie with lots of motion capture technology is Avatar. When it includes full body, face and fingers or captures subtle expressions, it is also referred to as performance capture. Motion capture with Xsens can be done in two hardware versions, the MVN Link suit and the MVN Awinda straps, both with their own characteristics.
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FreeMoCap
The Free Motion Capture Project (FreeMoCap) aims to provide research-grade markerless motion capture software to everyone for free. We're building a user-friendly framework that connects an array of `bleeding edge` open-source tools from the computer vision and machine learning communities to accurately record full-body 3D movement of humans, animals, robots, and other objects. We want to make the newly emerging mind-boggling, future-shaping technologies that drive FreeMoCap's core functionality accessible to communities of people who stand to benefit from them. We follow a “Universal Design” development philosophy, with the goal of creating a system that serves the needs of a professional research scientist while remaining intuitive to a 13-year-old with no technical training and no outside assistance.
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mimem
mimem is a cloud-based, AI-assisted markerless motion capture application that turns recorded video into 3D character animation. Users can upload footage from stationary phones, webcams, GoPros, DSLRs, or other cameras; the service synchronizes views and reconstructs body, hand, and finger movement without marker suits or calibration equipment. A browser-based preview lets users review the result before exporting FBX animation for use in compatible 3D software, including Unity, Unreal Engine, Blender, and Maya. Users can also retarget motion to their own characters, with IK retargeting available on paid plans. The companion app supports synchronized recording with iPhone and Android devices, while multi-camera capture scales by plan, up to 12 cameras. The product serves character-animation, game-development, film, and visual-effects workflows. A free tier is available with limited monthly exports; paid plans provide higher processing, storage, camera, and export allowances.
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