Ongoing Projects

Design and Development of a Fully Immersive Virtual-Reality System for Improving Skilled Walking Ability
Despite our understanding that training skills such as turning and obstacle avoidance are necessary to maximize functional mobility, gait interventions often focus on walking along an unobstructed path in a straight line. Existing interventions may also fail to integrate principles of skill training, which are known to facilitate long-term improvements in motor skill (e.g., progressive increase in difficulty , focus on skillful movement, promoting independence). To address this limitation, we are developing and testing the usability of a multi-platform training system that allows individuals with Parkinson’s disease to practice advanced walking skills such as turning and obstacle avoidance in real-world scenarios. We are relying on a user-centered approach to address the limitations of previous approaches to virtual-reality-based training in order to achieve a training experience that is meaningful to the end-user (patients and therapists). A key innovation of our approach is that our system can be used either with standard treadmills, over-ground in an open space, or in conjunction with newer, omni-directional treadmills.  

Principles of Locomotor Skill Learning in Real and Virtual Environments
Recent advances in consumer-grade technology for virtual reality have lowered the barriers to widespread use of VR for clinical applications such as a neuromotor rehabilitation. However, in order to optimize the design and implementation of VR-based interventions, it is important to understand the fundamental processes underlying motor skill learning in virtual environments and the factors that influence whether skills learned in virtual environments will generalize the real-world. In addition to understanding how conditions of practice influence skill acquisition, retention, and transfer, we also seek to understand what neural networks are involved with locomotor skill learning in healthy individuals and how damage to these networks in pathological populations influences the learning process. 

Key Lab Personnel

Publications

1. Zamani N, Abass A, Shetkar M, Dureja S, Li M, Culbertson H, Finley JM. Integrating haptic feedback into a virtual reality mobility training game for people with Parkinson’s disease. Proceedings of the 2021 IEEE World Haptics Conference (WHC). 875-875.
2. Adlakha G, Singh S, Patil A, Nuthalapati K, Khandve P, Bhattacharyya P, Manoharan S, Santhanam SM, Lachica IF, Finley JM, Lympouridis V. Development of a Virtual Reality Assessment of Visuospatial Function and Oculomotor Control. Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces. 753-754. 
3. Finley JM, Gotsis M, Lympouridis V, Jain S, Kim A, Fisher BE. (2021). Design and Development of a Virtual Reality-Based Mobility Training Game for People With Parkinson’s Disease. Front Neurol. 11:577713
4. A. Kim, N. Schweighofer, J.M. Finley. (2019). Locomotor skill acquisition in virtual reality shows sustained transfer to the real world. Journal of Neuroengineering and Rehabilitation. 14;16(1):113.
5. A. Kim, K. S. Kretch, Z. Zhou, and J.M. Finley. (2018). The quality of visual information about the lower extremities influences visuomotor coordination during virtual obstacle negotiation. Journal of neurophysiology. ​2018 120:2, 839-847 ​
6. A. Kim, N. Darakjian, and J.M. Finley (2017). Walking in Fully Immersive Virtual Environments: A Feasibility Test for Older Adults and Individuals with Parkinson’s disease. Journal of Neuroengineering and Rehabilitation. 14, 16.
7. A. Kim, Z. Zhou, K. Kretch, J.M. Finley. (2017). Manipulating the fidelity of lower extremity visual feedback to identify obstacle negotiation strategies in immersive virtual reality. Conf Proc IEEE Eng Med Biol Soc 1: 4491-4494.
8. J.M. Finley, M.S. Statton, A.J. Bastian.(2014) A Novel Optic Flow Pattern Speeds Split-belt Locomotor Adaptation. Journal of Neurophysiology. 111, 969-976. 

Funding