Virdyn mHand Pro Gloves
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Unbox immersive hand interaction with the Virdyn mHand Pro — 16-sensor smart motion capture gloves with dual-chip 800Hz refresh rate, 15+ built-in gesture recognition, and vibration feedback. Compatible with HTC VIVE, Oculus Quest 2, and Pico for VR game interaction, virtual teaching, and metaverse content.
Unbox immersive hand interaction with the Virdyn mHand Pro — a professional inertial motion capture glove featuring 16 sensors on the back of both hands and fingers. Equipped with the “mHand Studio” engine, hand gestures are transcribed into the movements of a 3D model in real time. The built-in, fully self-developed gesture recognition model supports 15+ gesture types, easily powering a wide range of VR interactive content.
Key Features:
- 16-Sensor Detailed Capture – An increased sensor count delivers more detailed, accurate hand and finger motion capture than earlier generations.
- Dual CPU Mode, 800Hz Refresh Rate – Iterative dual CPU sensor data processing enables an internal data sampling rate of up to 800Hz, using 2.4G wireless transmission for high frame rate and low latency.
- Long-Lasting Battery Life – A 1070mAh high-voltage lithium battery, paired with an excellent power management system, delivers more than 8 hours of use on a full charge, with dual-line fast charging.
- Vibration Feedback System – An X-axis linear motor on the back of the hand supports multiple vibration intensities, with SDK-enabled custom triggering for immersive haptic experiences.
- Removable, Washable, Replaceable Gloves – Made of antibacterial, breathable fabric for comfortable extended wear, with disassembly and cleaning service available to keep gloves fresh.
- Built-In Gesture Recognition – A fully self developed gesture recognition model supports 15+ gesture types out of the box, simplifying VR interaction design.
- Optical Tracker Compatibility – Supports optical tracker spatial positioning and is fully compatible with both Windows and Android systems.
- Extensive Headset Compatibility – Works seamlessly with HTC VIVE, Oculus Quest 2, and Pico VR headsets.
Full Software & Platform Ecosystem:
The mHand Pro integrates seamlessly across major game engines and 3D software, including direct connection and data broadcasting plugins for Unity3D (supporting up to 5-person simultaneous capture), compatibility across UE4.24 through UE5.3 with Metahuman model support, real-time data transmission to iClone 7/8, automatic skeleton retargeting in Blender, and data broadcasting to MotionBuilder (2016–2020), plus support for Maya and 3DS Max.
Android Development Ready – With the dedicated mHand Pro Android plugin, developers can leverage Unity Engine’s Android platform for direct connectivity to Android smartphones and Pico VR headsets, with all-in-one calibration, magnetic calibration, and dynamic parameter adjustment built in.
| Implementation Model | 9-axis inertial sensor |
|---|---|
| Sensor Nodes | 8 nodes/hand (16 total) |
| Capture Range | ±180° |
| Capture Accuracy | Roll <0.5°, Pitch <0.5°, Yaw <15° |
| Gyroscope Range | ±2000dps |
| Acceleration Range | ±16G |
| Magnetometer Range | ±4Gs |
| Communication Mode | 2.4G Wireless |
| Communication Distance | Indoor ≤20m / Outdoor ≥40m |
| Data Output Type | Raw, Quaternion, Euler, BVH |
| Data Output Frequency | 60/96/120Hz |
| Vibration Feedback | 8 modes + user programmable |
| Battery | Built-in 1050mAh lithium |
| Battery Life | ≥8 hours |
| Charger | 4.2V charger |
| Compatible Headsets | HTC VIVE, Oculus Quest 2, Pico |
| Glove Sizes | S, M, L |
Description
Unbox immersive hand interaction with the Virdyn mHand Pro — a professional inertial motion capture glove featuring 16 sensors on the back of both hands and fingers. Equipped with the “mHand Studio” engine, hand gestures are transcribed into the movements of a 3D model in real time. The built-in, fully self-developed gesture recognition model supports 15+ gesture types, easily powering a wide range of VR interactive content.
Key Features:
- 16-Sensor Detailed Capture – An increased sensor count delivers more detailed, accurate hand and finger motion capture than earlier generations.
- Dual CPU Mode, 800Hz Refresh Rate – Iterative dual CPU sensor data processing enables an internal data sampling rate of up to 800Hz, using 2.4G wireless transmission for high frame rate and low latency.
- Long-Lasting Battery Life – A 1070mAh high-voltage lithium battery, paired with an excellent power management system, delivers more than 8 hours of use on a full charge, with dual-line fast charging.
- Vibration Feedback System – An X-axis linear motor on the back of the hand supports multiple vibration intensities, with SDK-enabled custom triggering for immersive haptic experiences.
- Removable, Washable, Replaceable Gloves – Made of antibacterial, breathable fabric for comfortable extended wear, with disassembly and cleaning service available to keep gloves fresh.
- Built-In Gesture Recognition – A fully self developed gesture recognition model supports 15+ gesture types out of the box, simplifying VR interaction design.
- Optical Tracker Compatibility – Supports optical tracker spatial positioning and is fully compatible with both Windows and Android systems.
- Extensive Headset Compatibility – Works seamlessly with HTC VIVE, Oculus Quest 2, and Pico VR headsets.
Full Software & Platform Ecosystem:
The mHand Pro integrates seamlessly across major game engines and 3D software, including direct connection and data broadcasting plugins for Unity3D (supporting up to 5-person simultaneous capture), compatibility across UE4.24 through UE5.3 with Metahuman model support, real-time data transmission to iClone 7/8, automatic skeleton retargeting in Blender, and data broadcasting to MotionBuilder (2016–2020), plus support for Maya and 3DS Max.
Android Development Ready – With the dedicated mHand Pro Android plugin, developers can leverage Unity Engine’s Android platform for direct connectivity to Android smartphones and Pico VR headsets, with all-in-one calibration, magnetic calibration, and dynamic parameter adjustment built in.
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Overview
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