A First Design of the Inertially Correct Testbed Arm Platform for Testing of Wearable Devices

Area of Science:

• Biomedical Engineering
• Rehabilitation Robotics
• Human-Computer Interaction

Background:

• Personalizing wearable rehabilitation systems for diverse body shapes is difficult, often leading to slow design processes and ill-fitting devices.
• Limited testing on varied anthropometrics in research settings hinders the development of comfortable and effective assistive technologies.
• Existing exosuit designs struggle with individual user adaptation, impacting user experience and therapeutic outcomes.

Purpose of the Study:

• To propose and validate a novel approach using low-cost physical simulators for designing personalized wearable rehabilitation systems.
• To introduce the Inertially Correct Arm (ICA) as a proof-of-concept physical simulator mimicking human arm anthropometry and inertia.
• To evaluate the effectiveness of the ICA in aiding the development of soft arm-swing exosuits.

Main Methods:

• Developed the Inertially Correct Arm (ICA), a physical simulator with anthropometric and inertia properties of an average male arm.
• Investigated damping configurations using deformable pads compressed between plates.
• Compared free-swinging motion data from the ICA with human participant data using dynamic time warping (DTW) distances.

Main Results:

• The ICA successfully replicated inertia properties consistent with anthropometric data.
• Different damping configurations were tested, with joint resistance influencing motion.
• The ICA's motion more closely matched human participant data when higher joint resistance was applied.

Conclusions:

• Physical simulators like the ICA can significantly streamline the design and personalization of wearable rehabilitation devices.
• The ICA serves as a valuable tool for developing and testing soft arm-swing exosuits by providing realistic inertia and damping.
• Optimizing joint resistance in simulators is crucial for accurately mimicking human biomechanics in assistive device development.