Integrating Evaluation into Exoskeleton Systems: A Model-Based Approach

Area of Science:

• Robotics
• Biomechanics
• Human-Computer Interaction

Background:

• Wearable robotic system evaluation is challenging in real-world settings.
• Current methods use external tools (sEMG, motion capture) impractical for continuous use.
• Existing methods fail to directly measure internal biomechanical metrics like joint loading.

Purpose of the Study:

• To introduce a new paradigm for exoskeleton evaluation by embedding biomechanical assessment within the device.
• To present the ExoMetrix system for continuous human-exoskeleton interaction evaluation.
• To enable real-time feedback and longitudinal monitoring without external instrumentation.

Main Methods:

• Integrating onboard sensing, real-time data acquisition, and cloud processing.
• Utilizing physics-based models to process sensor data from the exoskeleton.
• Developing a unified workflow for human-exoskeleton interaction analysis.

Main Results:

• ExoMetrix provides real-time estimates of internal biomechanical quantities.
• Quantities include joint torques, spinal forces (compression, shear), and muscle loading.
• Continuous evaluation is achieved without reliance on external measurement devices.

Conclusions:

• The embedded approach transforms exoskeleton evaluation from episodic to continuous.
• This facilitates safer and more scalable deployment of wearable robotic technologies.
• ExoMetrix supports longitudinal monitoring and real-time feedback for improved human-exoskeleton systems.