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Cognitive-Motor Processes During Arm Reaching Performance Through a Human Body-Machine Interface

  • Rodolphe J. GentiliEmail author
  • Isabelle M. Shuggi
  • Kristen M. King
  • Hyuk Oh
  • Patricia A. Shewokis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9183)

Abstract

Head controlled based systems represent a class of human body-machine interfaces that employ head motion to control an external device. Overall, the related work has focused on technical developments with limited user performance assessments while generally ignoring the underlying motor learning and cognitive processes. Thus, this study examined, during and after practice, the cognitive-motor states of users when controlling a robotic arm with limited head motion under various control modalities. As a first step, two groups having a different degree of control of the arm directions were considered. The preliminary results revealed that both groups: (i) similarly improved their reaching performance during practice; (ii) provided, after practice, a similar performance generalization while still relying on visual feedback and (iii) exhibited similar cognitive workload. This work can inform the human cognitive-motor processes during learning and performance of arm reaching movements as well as develop rehabilitation systems for disabled individuals.

Keywords

Cognitive-motor performance Arm reaching movements Motor practice and learning Cognitive workload Human body-machine interface Robotic arm Motor rehabilitation 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rodolphe J. Gentili
    • 1
    • 2
    • 3
    Email author
  • Isabelle M. Shuggi
    • 1
  • Kristen M. King
    • 1
  • Hyuk Oh
    • 1
    • 2
  • Patricia A. Shewokis
    • 4
    • 5
    • 6
  1. 1.Department of Kinesiology, Cognitive Motor Neuroscience LaboratoryUniversity of MarylandCollege ParkUSA
  2. 2.Neuroscience and Cognitive Science ProgramUniversity of MarylandCollege ParkUSA
  3. 3.Maryland Robotics CenterUniversity of MarylandCollege ParkUSA
  4. 4.School of Biomedical Engineering, Science, and Health SystemsDrexel UniversityPhiladelphiaUSA
  5. 5.Nutrition Sciences Department, College of Nursing and Health ProfessionsDrexel UniversityPhiladelphiaUSA
  6. 6.College of Medicine, Department of Surgery, Surgical EducationDrexel UniversityPhiladelphiaUSA

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