Professor Block’s Reaching Study
Project Lead: David Reagan and Chris Eller, Advanced Visualization Lab, Research Technologies, Indiana University - Research made possible by IQ-Table and IQ-Station
The Advanced Visualization Lab collaborated with IU Department of Kinesiology Assistant Professor Hannah J. Block to update a reaching study with new hardware and software.
Professor Block is now in a position to recreate the experimental setup for her reaching study, using updated hardware and software suggested by the AVL. By using the open TUIO framework, along with the open-source Mono and MonoDevelop projects, the AVL created sample applications which should be useful and extensible in the future, even if alternative touch solutions are used.
Professor Hanna Block studies how the brain resolves discrepancies between different kinds of sensory information. In years past, Professor Block developed a study wherein subjects’ hands were tracked as they reached for targets. This tracking was performed with an optical tracking solution, commonly used in virtual reality applications, and controlled using a C program. At IU, Professor Block wished to update the reaching study using a C# program and, if possible, a cheaper and easier tracking solution. Using the apparatus made in collaboration with the AVL (see figure below), subjects make reaching and pointing movements on the lowest surface, while looking into the mirror. The images in the mirror appear to be on the same plane as the unseen hands.
IU’s Advanced Visualization Lab is funded through the Office of the Vice President for Information Technology, is a unit of UITS Research Technologies, and is affiliated with the Pervasive Technology Institute. For questions about this project or to request a consultation, please contact email@example.com.
NSF GSS Codes:
Primary Field: Neurobiology and Neuroscience (915) - Neurobiology and Behavior
Secondary Field: Computer Science (401) - Computer Systems Networking and Telecommunications