Description
The BioX Research Starter Kit provides a comprehensive wearable solution for capturing synchronized upper and lower limb dynamics. By integrating Force Myography (FMG) with 9-DOF Inertial Measurement (IMU), this kit allows researchers to stream muscle contraction intensity, limb orientation, and movement velocity across the entire body in real-time.
## Hardware & Signal Integrity
Both units in the kit are engineered for high-fidelity data collection and seamless human-machine interaction:
Dual Sensor Arrays: 16x highly sensitive FSR sensors (8 per band) for precise muscle mapping and contraction force measurement.
Motion Intelligence: Integrated 9-degrees-of-freedom IMUs providing linear acceleration, magnetic fields, and Euler angles.
Onboard Processing: Powered by Xtensa® dual-core 32-bit LX6 microprocessors for zero-lag calibration and low-latency streaming.
Intelligent Power Management: Dynamic power scaling and auto-shutdown (20 seconds after removal) to ensure maximum lab efficiency.
## Technical Specifications Comparison
| Feature | Forearm Band | Lower Limb Band |
| Weight | 90 grams | 100 grams |
| Dimensions | 36cm x 5.5cm | 50cm x 6.5cm |
| Fitment (Circumference) | 22cm – 25cm | 35cm – 40cm |
| Battery Life | ~4 hours (Lithium) | ~4 hours (Lithium) |
| Connectivity | Bluetooth SPP | Bluetooth SPP |
| Compatibility | Windows 10/11 | Windows 10/11 |
## Included in the Research Starter Kit:
1x BioX AAL-Band 2.0 (Forearm)
1x BioX AAL Leg-Band 2.0 (Lower Limb)
2x Micro-USB to USB 2.0 Cables (0.5m)
Access to Official Research Suite & Documentation
For software integration and data streaming instructions, please refer to our FMG Sensor User Guide.
## Peer-Reviewed Citations & Research
The BioX FMG architecture has been actively deployed, tested, and cited in leading academic publications and robotic frameworks.
📘 Springer Book Chapter
Peer-reviewed research detailing human-robot interface methodologies and active sensor deployments.
🦾 Frontiers in Robotics & AI
High-impact publication exploring wearable array integration within advanced robotics control systems.
🔬 MIC Journal Article
Technical breakdown of modeling, identification, and control parameters utilizing Force Myography data.
📄 arXiv Research Paper
Advanced open-access study highlighting the efficacy of BioX arrays in real-time continuous applications.












