Research Projects

Research Projects

Displaying 1 - 10 of 266

Filter by Condition
Example of upper limb prosthesis

Virtual Reality Outcomes Testing for Upper Limb Prosthesis

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.

Research Project

a photo of someone gripping the wheel of their wheelchair while in front of them you can see through a window to an airplane on the tarmac.

Enhancing Accessible and Inclusive Airline Travel for People with Physical Disabilities

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.

Research Project

blue background with red rectangles

Visual Feedback of Kinematic Chain in a Redundant Novel Task

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.

Research Project

yellow background with rectangles

Developing probability distribution models from upper extremity free exploration trials to evaluate motor deficits in stroke patients

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.

Research Project

violet background with white rectangles

Altering Post-Stroke Motor Recovery

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.

Research Project

violet background with white rectangles

Identification of sensory-motor control in reaching

Sensory inputs such as vision, proprioception, and touch play a crucial role in post-stroke recovery. Our research delves into how these sensory contributions can be assessed to develop effective, personalized therapy strategies. Enhancing and tailoring sensory inputs to an individual’s needs allows us to explore how learning outcomes can be improved and errors reduced. Through synthetic simulations that combine muscular, visual, and proprioceptive inputs, we aim to understand better the complex processes involved in motor learning.

Research Project

blue background with red rectangles

Eglove

Body Computer Interface (BCI) is the idea that one can control a robot simply by thinking about it. In this study, we are laying the groundwork for further BCI and robotic development for individuals to control a hand opening device called the Electro encephalographic mediated glove (or Eglove) using an EEG cap connected to a motorized glove.

Research Project