
Automotive Smart Manufacturing & Quality Inspection
Read the published research (Advances in Automotive Production Technology)

Hand gesture recognition
Force myography benchmark data for hand gesture recognition and transfer learning

Grasping assistance control
Effective multi-mode grasping assistance control of a soft hand exoskeleton using BioX AAL Band

Control wheelchair in shared autonomy
Our client has conducted several real-world experiments and applications using the BioX AAL band in collaboration with a regional hospital. It's important to note that our technology doesn't involve remote control, but rather shared control and shared autonomy.

Real-Time Quality Inspection
Enabling real-time quality inspection in smart manufacturing through wearable smart devices and deep learning

Controlling a MIR mobile robot
BioX AAL Band controlling a MIR mobile robot using ROS

Controlling a LEGO Robot
BioX AAL Band controlling a LEGO robot using bluetooth. SDK for quick start up is provided when purchased the AAL Band.

Exoskeleton payload estimation
Payload estimation using forcemyography sensors for control of upper-body exoskeleton

Exoskeleton Angle Prediction
Exo-Ada: A Boosting Model for Exoskeleton Angle Prediction
The Future of FMG Technology: Open-Architecture Research
As the field of robotics evolves, the scope of Force Myography continues to grow. We are currently seeing a surge in demand for high-fidelity muscle data in Virtual Reality (VR) haptics and remote robotic surgery. In these high-stakes environments, the mechanical stability of FMG ensures that user intent is translated into digital action without the lag or noise associated with traditional signal processing.
BioX is committed to supporting the global research community by providing open-access data logs and official SDKs via GitHub. By hosting our hardware integration tools in the open, we ensure that platforms like ROS, Python, and MATLAB work natively with our sensors from day one. This allows developers to move straight to custom control algorithms, pushing the boundaries of what is possible with wearable sensing.
Developer Quick-Links
Official Python SDK: Access GitHub Repository
BioX Desktop Client: Download Windows GUI
Technical Library: View All BioX Downloads
Ready to implement these FMG Sensor Use Cases? View the BioX AAL-Band 2.0 here.

