Abstract

Many daily tasks involve the collaboration of both hands. Humans dexterously adjust hand poses and modulate the forces exerted by fingers in response to task demands. Hand pose selection has been intensively studied in unimanual tasks, but little work has investigated bimanual tasks. This work examines hand poses selection in a bimanual high-precision-screwing task taken from watchmaking. Twenty right-handed subjects dismounted a screw on the watch face with a screwdriver in two conditions. Results showed that although subjects used similar hand poses across steps within the same experimental conditions, the hand poses differed significantly in the two conditions. In the free-base condition, subjects needed to stabilize the watch face on the table. The role distribution across hands was strongly influenced by hand dominance: the dominant hand manipulated the tool, whereas the nondominant hand controlled the additional degrees of freedom that might impair performance. In contrast, in the fixed-base condition, the watch face was stationary. Subjects used both hands even though single hand would have been sufficient. Importantly, hand poses decoupled the control of task-demanded force and torque across hands through virtual fingers that grouped multiple fingers into functional units. This preference for bimanual over unimanual control strategy could be an effort to reduce variability caused by mechanical couplings and to alleviate intrinsic sensorimotor processing burdens. To afford analysis of this variety of observations, a novel graphical matrix-based representation of the distribution of hand pose combinations was developed. Atypical hand poses that are not documented in extant hand taxonomies are also included.NEW & NOTEWORTHY We study hand poses selection in bimanual fine motor skills. To understand how roles and control variables are distributed across the hands and fingers, we compared two conditions when unscrewing a screw from a watch face. When the watch face needed positioning, role distribution was strongly influenced by hand dominance; when the watch face was stationary, a variety of hand pose combinations emerged. Control of independent task demands is distributed either across hands or across distinct groups of fingers.

Highlights

  • Humans are capable of performing a variety of tasks where their two hands cooperate and complement each other; everyday examples include cutting a steak with knife and fork or opening a bottle cap

  • The average movement time was negatively correlated with the average number of cam-outs for all 10 subjects with a correlation coefficient r(tfree, dfree) = À0.68, suggesting failures were more likely to occur in faster movements

  • This study presented evidence that a task’s number of degrees of freedom play an important role in the selection and shaping of bimanual hand poses

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Summary

Introduction

Humans are capable of performing a variety of tasks where their two hands cooperate and complement each other; everyday examples include cutting a steak with knife and fork or opening a bottle cap. Many crafts require exquisitely fine coordination of both hands, from stitching to surgery and watchmaking, where the manipulated tools can be extremely small and, manipulation often requires a microscope. Acquisition and fine-tuning of such skills necessitates many years of practice. Improvements probably never stop, as suggested by a seminal cross-sectional study by Crossman [1] reporting data over many years of experience. Both hands have to adopt intricate poses to cooperatively maneuver target objects with balanced forces and torques applied to achieve the task goals. How the human central nervous system (CNS) controls all the degrees of Downloaded from journals.phPyusibolilsohgeyd.obyrgth/jeouArmnearli/cjann(0P3hy4s.i2o3lo0g.0ic4a3l S.0o3c5ie)tyo.n November 8, 2021

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