A management system for motion-based gaming peripherals for physical therapy instrumentation

The rise in motion-based gaming peripherals has afforded intriguing opportunities for low-cost instrumentation of health-oriented activities. One particular activity, that of physical therapy, is of considerable interest as traditional systems in the area cost on the order of tens of thousands of dollars. However, while recent research has shown that gaming peripherals can deliver high quality instrumentation, non-expert programmers face considerable challenges in delivering robust and accurate instrumentation outside of the lab environment. Furthermore, when one considers how to fuse data across multiple peripherals, the heterogeneity of peripheral performance significantly complicates recording useful data. To that end, this paper seeks to describe our approach for delivering a robust, accurate, and scalable framework for motion-based gaming peripherals, specifically targeted at physical therapy in the clinical and research settings. We describe the principles of our framework and composition of data flow through a variety of illustrative examples. Finally, we conclude with several experimental setups designed to demonstrate the efficacy of the framework drawn directly from our experience in live clinical settings.

[1]  Charles R. Crowell,et al.  Enhanced feedback in balance rehabilitation using the Nintendo Wii Balance Board , 2011, 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services.

[2]  B. Peek,et al.  Managed Library for Nintendo's Wiimote , 2007 .

[3]  Albert A. Rizzo,et al.  Development and evaluation of low cost game-based balance rehabilitation tool using the microsoft kinect sensor , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  日向 俊二.  Kinect for Windowsアプリを作ろう , 2012 .

[5]  Bart Nienhuis,et al.  Effects of visual center of pressure feedback on postural control in young and elderly healthy adults and in stroke patients. , 2003, Human movement science.

[6]  Heidi Sugarman,et al.  Use of the Nintendo Wii Fit for the Treatment of Balance Problems in an Elderly Patient with Stroke: A Case Report , 2009 .

[7]  Charles R. Crowell,et al.  Relative efficacy of various strategies for visual feedback in standing balance activities , 2013, Experimental Brain Research.

[8]  Yao-Jen Chang,et al.  A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities. , 2011, Research in developmental disabilities.

[9]  Mark Bolas,et al.  Designing informed game-based rehabilitation tasks leveraging advances in virtual reality , 2012, Disability and rehabilitation.

[10]  A. Dutta,et al.  Low-cost visual postural feedback with Wii balance board and Microsoft Kinect - a feasibility study , 2013, 2013 IEEE Point-of-Care Healthcare Technologies (PHT).

[11]  Kajal T. Claypool,et al.  The effects of frame rate and resolution on users playing first person shooter games , 2006, Electronic Imaging.

[12]  Albert A. Rizzo,et al.  Interactive game-based rehabilitation using the Microsoft Kinect , 2012, 2012 IEEE Virtual Reality Workshops (VRW).

[13]  Melanie Swan,et al.  The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery , 2013, Big Data.

[14]  Philippe Fraisse,et al.  Three dimensional visualization of the statically equivalent serial chain from kinect recording , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Philippe Fraisse,et al.  Estimation of the center of mass with Kinect and Wii balance board , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Philippe Fraisse,et al.  Center of Mass Estimation for In-home Rehabilitation - Kinect-Wii board vs. Vicon-Force plate , 2012 .