Wearable hand force measurement
Quantify forces applied by the hand during real tasks.
loadglove extends textile force sensing to hand and finger interactions, helping teams study grip, contact, workflow and ergonomic loading with mobile feedback.
What is loadglove?
A force measurement glove for applied hand loads.
loadglove is designed for applications where the hand is both the actuator and the measurement site. Textile force sensors can be positioned at relevant contact areas to record how forces are applied during gripping, pressing, handling or tool interaction.
The system is useful when the scientific question is not only whether a task was completed, but how much force the hand contributed, how consistently it was applied and how the force changed during the movement.
Applications
Where loadglove adds measurement value
Ergonomics
Evaluate hand loads during assembly, tool use, switch operation and repetitive work.
Biomechanics
Study grip strategy, finger loading, rehabilitation tasks and human-object interaction.
Product development
Compare interface designs and define force thresholds for safer, more intuitive products.
Physical AI and humanoid robot training
Capture human hand-force patterns for robotic manipulation, humanoid training data and physical AI model development.
Key features
Wearable sensors with real-time interpretation.
- Measure force during natural hand movement instead of only in a fixed test rig.
- Use textile capacitive sensing for soft contact with minimal disturbance to the task.
- Record and visualize force over time for thresholds, repeatability and training feedback.
- Combine loadglove insights with buttonsens, loadpad or texsens when the interface involves both hand and object loads.
Measurement workflow
Hand-force data during real object interaction.
For a loadglove study, the sensor positions should follow the expected contact pattern: fingertips for precision pressing, palm regions for support loads, or combined locations when grip strategy is the scientific question. The goal is to measure hand force without forcing the person into an artificial fixture.
The data can be interpreted as force-time curves for each contact region, allowing comparison of grip intensity, task phases, fatigue effects, training progress or ergonomic risk. When synchronized with video, motion capture or robot telemetry, loadglove data can explain not just what happened, but how the hand produced the action.
Typical outputs
Finger contribution, palm loading, peak grip force, timing of contact, repeatability between trials and excessive-force events.
Combined systems
loadglove can be paired with buttonsens for fingertip actions, loadpad for object-side reaction forces or texsens for low-force textile contact.
Synchronization
Synchronized data integration for motion and force analysis.
loadglove can be synchronized with external measurement systems such as Xsens by Movella and comparable motion-capture platforms. This makes it possible to align hand-force signals with body kinematics, posture and task events in one time-consistent dataset.
When force curves from the glove are recorded in sync with motion data, researchers and engineers can evaluate how hand loading changes during reaching, gripping, assembly, tool use or humanoid training tasks. The combined view is especially useful for ergonomics, robotics, physical AI datasets and real-time movement analysis.
Video resource
loadglove force measurement in action.
This local video uses the provided loadglove material to show wearable hand-force measurement during a real interaction workflow.
loadglove measurement workflow
Local demonstration video for hand and grip force measurement with loadglove.
Need to know more about loadglove?
Describe the task, hand contact area and force range you need to measure.
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