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MANUS Metagloves

MANUS Metagloves is a line of professional hand and finger motion capture gloves developed by the Dutch company MANUS (Manus Machinae B.V.). The gloves use proprietary Quantum sensors based on electromagnetic field (EMF) tracking, providing millimeter accuracy without drift and without the occlusion problems typical of optical systems.

The current model, Metagloves Pro, measures a full anatomical hand model with 25 degrees of freedom (25 DOF) using five EMF sensors (6-DOF tracking per sensor: 3-axis position and 3-axis rotation) at a 120 Hz sampling rate. Connectivity is wired over USB-C or wireless over Bluetooth 5.0 (dongle) with a range of up to 15 m.

Beyond mocap and animation (VR, film, games), the gloves are used in robotics: for teleoperation of dexterous robot hands and for collecting high-quality datasets for manipulation learning and robotic foundation model development. The manufacturer states ROS 2 integration. The first generation, Quantum Metagloves, has been discontinued.

#mocap gloves#motion capture#teleoperation#EMF sensors#robotics#robot hand#VR
Market classIndustrial

Classification

Motion Capture Glove · serves as: Teleoperation Support, Sensing.

Which group MANUS Metagloves belongs to and how it is built

4items
Sensing
Hardware domain
Industrial
Market class

Subcategory covering hardware teleoperation interfaces: motion capture gloves, motion controllers and wearables that map operator motion to robot actions and generate data for manipulation learning.

Component type: sensory glove capturing finger and hand motion. Uses sensors (e.g. EMF/magnetic, flex, IMU) to record many hand degrees of freedom in real time.

Technical specification

Basic physical properties of MANUS Metagloves — dimensions, weight and materials

3parameters
Materials
72% polyester, 28% spandex
Mounting
Wearable glove with detachable electronics (the glove can be washed after removing the modules).
Weight
167g

Software

The gloves work with MANUS Core software and integrate with animation and VR tools (Unity, Unreal, Blender, MotionBuilder), and in robotics with ROS 2.

ROSAPISimulation
Updated: 28 August 2026