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The goal of this study is to compare clinical performance measures in an immersive virtual reality (VR) environment to performance with a physical upper limb prosthesis.

The goal of this proposal, developed by an interdisciplinary team led by Shu Cole, PhD, professor of health and wellness design at Indiana University, is to conduct research to generate new knowledge that can be used to improve the airline travel experiences of people with disabilities, including those with the greatest support needs.

This study utilizes a wearable data glove system that translates hand movements into signals that control a cursor on a screen. We examined how participants learn a redundant novel task, which can be completed through various solutions.

Stroke survivors vary greatly in their motor deficits and rehabilitative needs. Here, we gather unstructured upper limb movement data and seek to understand if there are patterns in their kinetics that reflect the underlying neuromuscular alterations. In doing so, we can improve our abilities to evaluate patients and design personalized rehab therapy.

True behavioral restitution, a return to normal motor patterns with the affected limb post-stroke, requires the recruitment and restoration of the residual ipsilesional hemisphere/corticospinal tract (CST). Following stroke, the spontaneous recovery mechanism selectively and continuously uses a more optimized neural network for motor execution, depending on the degree of CST damage.