BioX Wearables

Deep Learning-Enabled Real Time In-Site Quality Inspection Based On Gesture Classification
Automotive Smart Manufacturing & Quality Inspection

Read the published research (Advances in Automotive Production Technology)

Hand gesture recognition
Hand gesture recognition

Force myography benchmark data for hand gesture recognition and transfer learning

Grasping assistance control
Grasping assistance control

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

Assistive technology research: Controlling electric wheelchair using BioX FMG gesture control
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
Real-Time Quality Inspection

Enabling real-time quality inspection in smart manufacturing through wearable smart devices and deep learning

Robotic arm control using BioX AAL-Band and ROS (Robot Operating System) integration
Controlling Robot with ROS

BioX AAL Band controlling a robot using ROS

BioX AAL Band Controlling MIR robot
Controlling a MIR mobile robot

BioX AAL Band controlling a MIR mobile robot using ROS

Controlling a LEGO Robot
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
Exoskeleton payload estimation

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

Exoskeleton Angle Prediction
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

Ready to implement these FMG Sensor Use Cases? View the BioX AAL-Band 2.0 here.

5 Best FMG Sensor Use Cases