The GPT Series Data Acquisition Glove is a wearable sensing solution designed for real-time hand data acquisition. By integrating flexible pressure sensing, finger bend detection, and motion tracking, it provides a practical platform for robotics, motion capture, and advanced human-machine interaction development.
Key Value
Pressure Sensing
Capture fingertip force and contact data.
Bend Detection
Monitor finger movement and gesture changes.
Motion Tracking
Acquire hand posture and dynamic motion information.
Multi-Modal Sensing：The glove combines pressure sensing, bend sensing, and motion tracking into one integrated platform, helping users capture richer hand interaction data.
Real-Time Data Output：The system supports real-time signal acquisition and transmission to a PC, making it suitable for monitoring, recording, and control-related development.
Flexible Sensor Technology：Based on flexible piezoresistive sensing technology, the glove structure is lightweight and suitable for wearable sensing applications.
Finger-Level Data Acquisition：Each finger includes dedicated sensing channels, allowing more detailed observation of local motion and contact behavior.
Development-Friendly Interface：API support can be provided for software connection and secondary development, helping customers integrate the glove into their own systems.
Suitable for Research and Integration：The GPT glove is designed not only as a sensing device, but also as a development platform for robotics, HMI, motion analysis, and related technical projects.
System Architecture
The GPT glove is built on a multi-channel sensing architecture designed for synchronized acquisition of pressure, bend, and motion data.
Each finger includes:
• A flexible FSR sensing unit for pressure detection
• A bend sensor for finger motion monitoring
• A local signal path connected to the main control system
The main glove system includes:
• MCU for signal acquisition and processing
• HUB structure for internal connection management
• 9-axis IMU for posture and motion tracking
• Power module for system operation
• USB-to-TTL connection for PC communication
The system sends the collected data to the upper computer in real time, making it convenient for algorithm development, data visualization, control logic validation, and software integration.
Application Scenarios
Robotic Teleoperation
The glove can be used as a front-end data acquisition tool for robotic teleoperation systems, helping collect hand movement and contact-related signals for remote operation development.
Dexterous Hand Research
It is suitable for research on robotic fingers, dexterous manipulation, and grasping behavior, where finger-level sensing data is required.
Motion Capture
By combining bend sensing and IMU data, the system can support hand motion capture and gesture-related analysis.
Human-Machine Interaction
The glove provides a practical input solution for advanced HMI projects that require natural hand motion and force-related interaction data.
VR / AR Interaction Exploration
For projects exploring immersive control and gesture-based interfaces, the glove can provide real sensing data as an input layer.
Training and Experimental Platforms
It can also be used in laboratories, universities, and engineering teams as a data collection platform for validation, testing, and algorithm training.
Typical Use Cases
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