Skip to content / 跳至主要内容
TOBI

FORMOTION / FINGERTIP TRACKING / EMF + IMU

G7 magnetic-inertial data gloves

Fingertip tracking for dexterous robot teleoperation.

Capture hand motion during pinching, grasping and finger opposition. Manufactured by Forsense; TOBI supports selection, Ego camera combinations and delivery coordination. Robot integration is assessed per project.

120 HzSensor sampling
2 mmPosition accuracy · specified
<20 msWired end-to-end latency

Source: Forsense datasheet · confirm configuration and test conditions

FOR MOTION. FOR DATA.G7
G7 magnetic-inertial data gloves
Manufacturer product imageEMF + IMU
Human motion → hand data → project integration

01 / FIT FOR YOUR TASK

Start with the task.
Choose the right input.

Where it fits

Tasks requiring fingertip spatial positions, with a controllable magnetic environment and a validated connection topology.

What to verify

The specified 2 mm position accuracy is not robot end-effector accuracy. Evaluate nearby metal and close-hand operation. Camera synchronization and robot retargeting are not included by default.

Explore the alternative · G2-L →

02 / CAPTURE TO CONTROL

From human movement
to a robot task.

The glove provides the input. Mapping, control and synchronization define the complete workflow. This is an integration diagram, not a claim of validated robot compatibility.

  1. 01 / CAPTURE

    Capture

    Record human-hand motion

  2. 02 / SDK

    Decode

    Confirm fields, frames and timestamps

  3. 03 / PROJECT

    Retarget

    Map to the target joints and limits

  4. 04 / PROJECT

    Control & record

    Connect the controller; log states and outcomes

Dashed stages require project validation. The robot hand, controller and cross-device synchronization services are not included by default.

Add egocentric vision

E6 / E2 cameras + hand data → clock and calibration verification → alignment and recording → acceptance against the target training workflow.

TOBI E6 ↗TOBI E2 ↗

03 / DATA & INTEGRATION

Define the data.
Then validate integration.

Define interfaces, outputs and acceptance criteria before engineering integration.

01

Fields & coordinates

Confirm handedness, joint names, units, orientation representation, reference frames and missing-data rules. Outputs depend on the SDK and firmware version.

02

Timing & quality

Specify device and host timestamps, latency definitions, jitter, dropped frames and drift. Retain processing records for resampled data.

03

Target robot

Confirm degrees of freedom, joint order, joint limits and the communication protocol. Scope follows validation on the actual robot model.

Public technical resources

Manufacturer specifications and integration resources are open. A validated TOBI recording sample and robot compatibility list are not published here; request a technical assessment if needed.

Integration capabilities and validation boundaries
ItemCurrent evidenceBefore integration
Device outputManufacturer specifications and SDK documentationFirmware, SDK, field definitions and operating system
Robot-hand controlProject validation requiredTarget hand, driver, retargeting and task acceptance
ROS 2 / LeRobot / Isaac LabNo validated integration version published hereTarget framework version, conversion code and test sample

04 / CHOOSE YOUR GLOVE

G7 or G2-L?
Choose by capture task.

Manufacturer-specification comparison · rate and latency definitions differ
CriterionG7G2-L
Capture focusFingertip spatial position and hand motionGestures, articulation and hand orientation
TrackingEMF + IMU magnetic-inertialIMU inertial
Rate definition120 Hz sensor sampling50 Hz data transmission
Latency definitionEnd-to-end: wired <20 ms / wireless <30 msSignal latency ≤20 ms
Connection and runtimeWired Hub; optional wireless >3.5 hBluetooth 5.1; 7 h battery life
Weight per glove115±5 g90±5 g
Before choosingMagnetic environment, hand separation, wiring and position reference frameCalibration, drift, Bluetooth coverage and pose-data requirements
Read the selection guide →

05 / SPECIFICATIONS

Specifications,
in context.

The following are manufacturer specifications, not independent TOBI measurements. Performance depends on configuration, environment, calibration and test method.

Open the source datasheet ↗

Sources checked: 2026-10-01

G7 · Manufacturer specification summary
Sensor architecture5 fingertip EMF+IMU modules plus a back-of-hand IMU per hand
Sensor sampling rate120 Hz
End-to-end latencyWired <20 ms; wireless <30 ms
Spatial accuracyPosition 2 mm; orientation 3° (manufacturer specification)
IMU6DOF; gyroscope ±4000 dps; accelerometer ±8 g
Wired communicationCANFD or UART; UART can convert to 485 / 232 / 422 / USB
PowerHub USB-C; 4.6–5.5 V, approximately 300 mA
Optional wireless moduleApproximately 1.7 W; >3.5 h runtime; approximately 10 m range; module approximately 65 g
Fit and weight115±5 g per glove; M / L / XL, standard L
Environment0–40 °C; humidity 20%–80%
Module dimensionsFingertip 12.6×22.85×7.7 mm; hand controller 67.4×53.4×22.2 mm

06 / CONFIGURATION

Know the scope
before procurement.

01

Hardware configuration

The datasheet lists a glove pair, hand controllers, G7-Hub, cables, power adapter and storage accessories.

02

Options & peripherals

Wireless modules, forearm modules, TTL-to-USB-C and wireless receiver; quantities and versions require a confirmed bill of materials.

03

Project services

Robot integration, camera synchronization, schema conversion and acceptance support are assessed per project. Pricing, lead time and services are itemized in the quotation.

07 / QUESTIONS, ANSWERED

Before you choose.

Understand capabilities and limits before committing to an integration.

Is this a robot hand or a data glove?

This is a wearable human-hand motion capture input device. A robot hand is the actuator; SDK integration, retargeting and a robot control interface connect the two.

Which robots can it control directly?

No model-specific robot validation list is published here. Provide the target hand, degrees of freedom, interfaces and task to assess development and testing. Plug-and-play compatibility is not assumed.

How should I choose between G7 and G2-L?

Evaluate G7 for fingertip spatial position, including the magnetic environment. Evaluate G2-L for wireless hand-pose capture. Rate and latency definitions differ; validate against your task.

Does it provide tactile sensing or force feedback?

The specifications cited here do not establish tactile sensing, contact-force capture or force feedback. Confirm hardware and peripherals separately if required.

How does synchronization with E6 / E2 work?

Confirm both clocks, timestamps, alignment method and error criteria. G7 Hub synchronization between hands is not hardware synchronization with an Ego camera. Starting simultaneously is not time alignment.

Is the data ready for LeRobot or VLA training?

Hand trajectories can be part of demonstrations but are not automatically robot actions. Validate the action space, robot states, aligned vision, schema and target framework version before conversion and training.

How do I get a quotation, lead time or evaluation?

Review the public specifications, then send the model, application and email. Pricing depends on configuration, accessories, quantity and services. Confirm lead time, evaluation availability and warranty in writing.

PROJECT ASSESSMENT

Tell us about your task.
Define the right setup.

Expect a reply within one working day to discuss the model, interfaces, sizing and delivery scope. Basic specifications are available without a form.

+86 137 5502 0164

For robot integration or camera synchronization, include the target equipment and task.

Add company and telephone (optional)

SpecificationsEnquire about G7 ↗