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Finger pressing task data collected with and without post-trial performance feedback.

S Balamurugan1, S K M Varadhan1

  • 1Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai, India.

Data in Brief
|February 7, 2020
PubMed
Summary
This summary is machine-generated.

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This study investigated finger pressing forces during a visual occlusion task, comparing performance with and without post-trial feedback. Findings reveal how visual feedback influences force control in finger pressing tasks.

Area of Science:

  • Biomechanics
  • Motor Control
  • Human Movement Science

Background:

  • Understanding fingertip force control is crucial for rehabilitation and human-computer interaction.
  • The role of visual feedback in motor tasks, particularly finger pressing, requires further investigation.
  • Existing research often lacks detailed force data under varying feedback conditions.

Purpose of the Study:

  • To present a dataset of fingertip forces during a finger pressing task under conditions of visual occlusion.
  • To compare finger force production with and without post-trial performance feedback (epilogue).
  • To provide data for analyzing motor control strategies during visually occluded tasks.

Main Methods:

  • Participants performed a finger pressing task using four right-hand fingers (Index, Middle, Ring, Little).
Keywords:
EpilogueFeedbackFinger pressing taskMVC

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  • Two tasks were conducted: Maximum Voluntary Contraction (MVC) and a visual occlusion task.
  • The visual occlusion task involved a period of no visual feedback, with two conditions: 'epilogue' (with feedback) and 'no epilogue' (without feedback).
  • Forces were normalized to 15% of MVC.
  • Each visual occlusion condition included 30 trials, with each trial lasting 16 seconds (8s visual feedback, 8s occlusion).
  • Main Results:

    • The dataset includes MVC data and data from the two visual occlusion conditions.
    • Force levels were normalized to individual MVCs.
    • The dataset comprises three files detailing MVC, 'no epilogue', and 'epilogue' conditions.

    Conclusions:

    • The dataset provides valuable insights into finger force control under altered sensory feedback.
    • This data can be used to study motor learning and adaptation in visually occluded tasks.
    • The findings contribute to understanding the impact of performance feedback on motor execution.