Rehabilitation Research at the NSF
Rehabilitation Research at the NSF

Rehabilitation Research at the NSF - PowerPoint Presentation

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Rehabilitation Research at the NSF - Description

Wendy Nilsen PhD Program Director Smart and Connected Health Background NSF Rehabilitation research can be found in many areas in NSF and within the mission of several crossdirectorate initiatives ID: 999483 Download Presentation

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research science amp nsf science research nsf amp balance control user approach basic smart connected assistive feedback rehabilitation health




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Presentation on theme: "Rehabilitation Research at the NSF"— Presentation transcript

1. Rehabilitation Research at the NSFWendy Nilsen, PhDProgram Director, Smart and Connected Health

2. Background NSFRehabilitation research can be found in many areas in NSF and within the mission of several cross-directorate initiatives It is a case of use-inspired basic research. The scientific advances in basic science can be in computing, information science, engineering or social or behavioral science. The benefit to rehabilitation research is important, but second to the advances in basic science. Three major homes for this research:Smart and Connected HealthCyber-physical SystemsNational Robotics Initiative

3. Smart & Connected Health (SCH)Inter-Agency ProgramNational Science FoundationNational Institutes of HealthNSF Solicitation NSF 13-543Wendy Nilsen, PhDProgram Director, Smart and Connected HealthComputer and Information Sciences and Engineering, NSF3

4. Pasteur’s QuadrantNeils BohrLuis PasteurThomas EdisonSteve JobsQuest for Basic UnderstandingApplication Inspired: Consideration of UseDonald E. Stokes, Pasteur's Quadrant – Basic Science and Technological Innovation, Brookings Institution Press, 19974

5. Smart and Connected Health Research Areas

6. NSF Directorates Participating in SCHOffice of the DirectorEngineering (ENG)Geosciences (GEO)Mathematical and Physical Sciences (MPS)Budget, Finance Award ManagementComputer & Information Science and Engineering(CISE)Biological Sciences (BIO)Diversity and InclusionSocial, Behavioral and Economic Sciences (EBS)Education and Human Resources (EHR)General CounselInformation & Resource ManagementLegislative & Public AffairsNational Science BoardOffice of Inspector GeneralCyber-infrastructureIntegrative ActivitiesInternational Science and EngineeringPolar programs6

7. NIH Institutes Participating in SCHOBSSRNCINIBIBNIANHGRINICHDNational Human Genome Research Institute

8. Computing Robot Motions for Home Healthcare AssistanceRobots autonomously performing tasks in home-like environmentsMotivation:Over 10 million Americans currently need assistance with activities of daily living (ADLs), and this number is growing.Robots could empower older adults and individuals needing ADL assistance to remain in their own homes rather than be transferred to costly institutions or nursing homes.New software and algorithms are needed to control home healthcare robots for autonomous, safe assistance with ADLs.Technical Approach:Learn robust metrics for ADL task motions from kinesthetic demonstrations provided by healthy humans. The computed metric serves as a guideline for fast motion planning for interactions with new care recipients.Develop fast algorithms for real-time motion computation in uncertain, dynamic, and cluttered environments. Achieve fast performance using novel algorithms and harnessing the compute power of multi-core CPUs and many-core GPUs.PI Ron Alterovitz, University of North Carolina at Chapel Hill, NSF Grant #1117127

9. Use of Gaming Peripherals in Acute Rehabilitation of Balance Following StrokeJames Schmiedeler, Aaron Striegel, & Charles Crowell University of Notre Dame IIS-1117706Motivation:Restoration of balance after stroke is critical determinant of patient’s long-term assistive needs.Optimizing use of limited therapy time, particularly in acute phase shortly after injury, facilitates functional recovery. High cost of most balance feedback systems limits clinical access & potential for in-home use after discharge.Technical Approach:Compare types of visual feedback provided based on center of pressure data from Nintendo Wii Balance Board.Model human control of lateral weight shifting to identify changes associated with balance deficits.Manipulate visual feedback during balance therapy tasks to facilitate rehabilitation of specific deficits.

10. SCH EXP: Collaborative Research: A Formalism for Customizing the Control of Assistive Machines Customiziation of control sharing functions to the user (U) and task (T)Motivation:For those with severe upper limb motor impairments, caregivers are still relied on for manipulation tasks like meal preparation or personal hygiene.Robotic arms hold much promise, however traditional devices for teleoperation like joysticks become tedious or untenable to control these higher degrees of freedom systems.Technical Approach:A formalism that customizes how users share control with intelligent autonomous assistive devices, based on user ability and preference.Customization to the user and task, and based on the confidence that the user's goal has been predicted correctly.Customization by the autonomy and by the user. Brenna Argall, Northwestern UniversitySiddhartha Srinivasa, Carnegie Mellon UniversityNSF Grant # 1R01EB019335-01

11. Socially Assistive Human-Machine Interaction for Improved Compliance and Health OutcomesMotivation:Our approach is focused on socially assistive robotics (SAR) and is motivated the following domains:Post­stroke rehabilitationPhysical and cognitive exercise for older adults General exercise encouragementTechnical Approach:Affective feedback, praise, encouragement, and relationship building in SAR exercise coach and buddy systemsPersonalization of motivational character backstoryUse of deviation (cheating) detection for user engagementPI: Maja J Matarić, University of Southern California, NSF Grant #1117279

12. Useful Website: www.nsf.gov 12

13. “You miss 100% of the shots you never take.”Wayne Gretzky

14. Thank you! Wendy Nilsenwnilsen@nsf.gov