A wearable that measures hand motion across 9 degrees of freedom (DOF), enabling digital representation of natural hand movements for robotics, XR/VR, and research applications.
Supports robotic teleoperation, dexterous manipulation, data acquisition, and collection of human motion data for physical AI training and research.
Captures hand and finger movements across 9 degrees of freedom.
Captures hand motion at 40 Hz for each channel.
Wireless communication enables convenient connection to the desktop application.
Calibration allows the glove to be prepared for use in ≈10 seconds.
Connects the glove to the Sensorised desktop software for visualization and data acquisition.
Flexible sensing elements follow hand movements while capturing changes in strain during motion.
The virtual hand model follows the movements of the user's hand in real time.
Raw sensor signals can be acquired and logged for analysis and processing.
Request a Demo / Discuss an IntegrationCapture human hand movements in real time to control dexterous robotic hands and support intuitive teleoperation.
Capture human hand motion data for building datasets and training robotic systems for dexterous manipulation.
Camera-free capture for immersive interaction, virtual hand representation, and gesture-based control.
Sensorised Glove is a wearable hand motion capture system that measures hand and finger movements across 9 degrees of freedom. Using stretchable strain sensing, the glove captures hand motion in real time without cameras. Sensorised Glove supports robotic teleoperation, dexterous manipulation, physical AI data collection, XR/VR, and research applications requiring wearable hand motion data. The system provides Bluetooth connectivity, quick calibration, and a desktop application for hand motion visualization, raw signal acquisition, and data logging.
