Tactile Data Glove

Capture
Specification-based configuration

Contact sensing and electromagnetic tracking

System overview

Built around
your research.

Record where contact occurs as well as how the hand moves. Palm-side tactile arrays and fingertip electromagnetic pose tracking provide inputs for dexterous manipulation, teleoperation and vision-tactile research.

Standard tactile layout: 360 points
Nominal tactile sampling: 200 Hz
Nominal tracking output: 180 Hz

Configuration, lead time and delivery scope confirmed with your inquiry.

Design & capability

Designed for the task.

Capture contact distribution

Fabric piezoresistive arrays cover the main palm-side contact areas. Record raw ADC values and point mappings; force or pressure conversion requires separate calibration.

Reconstruct hand pose

Five electromagnetic sensors track fingertip 6DoF poses. A 25DoF hand reconstruction is an algorithm output, not 25 independently measured joints.

Integrate the data streams

USB and licensed SDKs provide access; wireless is optional. Validate coordinates, timing and robot end-effector mapping for each integration.

Specifications

Configuration details and measurement conditions.

Standard and optional configuration
Tactile points	360 standard; 600 optional with layout confirmation
Sampling	200 Hz standard; 400 Hz is a future upgrade direction, not a current delivery commitment
Connection / power	USB standard; optional wireless receiver and battery module
Package	1 glove + 1 data cable; bilateral sets and tracking accessories specified separately
Tracking accessories	Confirm field generator / reference source, receiver, SDK licenses and cables
Customization	Appearance, outer material and protection by agreement

Tactile array
Technology	Flexible fabric piezoresistive sensing
Standard layout	24 points per finger (16 fingertip + 8 middle), plus 240 palm points (16 x 15)
Coverage	Main palm-side regions except the four finger-base regions; confirm point map
Nominal density	9 points/cm2
Trigger / maximum range	20 g / 1500 g as stated in source documentation; loading conditions and force calibration require confirmation
Output	Per-point ADC and total ADC; not directly N or Pa
Repeatability / consistency	Both +/-15% full scale

Contact area, stretch, fit, temperature and humidity affect readings. Preserve the baseline and recalibrate after re-wearing.

Tracking and reconstruction
Sensors	5 electromagnetic sensors; 6DoF each
Output	3-axis position and rotation per fingertip; nominal 180 Hz
Hand reconstruction	Algorithm-derived 25DoF pose
0.2 mm figure	Source table calls this accuracy; prose calls it resolution below 0.2 mm. Definition and test volume must be confirmed
Nominal latency	10 ms wired / 30 ms wireless; measurement endpoints and conditions require confirmation
Deployment	Confirm tracking volume, coordinates, field source and metal interference

Different sampling rates do not establish hardware synchronization. Sensor latency is not robot end-to-end control latency.

Power, environment and SDK
Optional battery	Nominal 1200 mAh; confirm selected module
Runtime / charging	Nominal 2.5 hours / 2 hours; conditions unspecified
Temperature / humidity	-15 to 60 C / 0-90% RH, nominal; not a waterproof rating
Reliability source claim	More than 500,000 cycles under a 10 kg impact test; fixture and conditions unconfirmed, not a glove payload rating
Care	Avoid liquids, sharp objects and cable strain; clean with a soft dry cloth
SDK	Licensed Windows / macOS / Linux SDK; scope by agreement, not an open-source claim
Integration	Frame protocol, point map, calibration version, hand identity, timestamps and clock mapping

Delivery and validation

Agree on the complete configuration.

Based on specification V1.3 dated July 25, 2026. Figures are document claims, not Actrium measurements. Standard, optional, future and unresolved specifications are identified separately.

Confirm hand, point layout, tracking accessories and communication configuration.
Record the wearing baseline and verify reference coordinates and environmental interference.
Check actual tactile and pose rates, dropped frames and latency separately.
Archive raw ADC, calibrated measurements, estimated poses and mapped robot actions as distinct data layers.

Start with your task.

Define the devices, data and evaluation your project needs.

Tactile Data Glove

Contact sensing and electromagnetic tracking

Built around
your research.