Literature DB >> 24808326

Grasp frequency and usage in daily household and machine shop tasks.

Ian M Bullock, Joshua Z Zheng, Sara De La Rosa, Charlotte Guertler, Aaron M Dollar.   

Abstract

In this paper, we present results from a study of prehensile human hand use during the daily work activities of four subjects: two housekeepers and two machinists. Subjects wore a head-mounted camera that recorded their hand usage during their daily work activities in their typical place of work. For each subject, 7.45 hours of video was analyzed, recording the type of grasp being used and its duration. From this data, we extracted overall grasp frequency, duration distributions for each grasp, and common transitions between grasps. The results show that for 80 percent of the study duration the housekeepers used just five grasps and the machinists used 10. The grasping patterns for the different subjects were compared, and the overall top 10 grasps are discussed in detail. The results of this study not only lend insight into how people use their hands during daily tasks, but can also inform the design of effective robotic and prosthetic hands.

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Mesh:

Year:  2013        PMID: 24808326     DOI: 10.1109/TOH.2013.6

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  19 in total

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Authors:  Verónica Gracia-Ibáñez; Margarita Vergara; James H Buffi; Wendy M Murray; Joaquín L Sancho-Bru
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-12-27       Impact factor: 1.763

2.  Analysis of Hand and Wrist Postural Synergies in Tolerance Grasping of Various Objects.

Authors:  Yuan Liu; Li Jiang; Dapeng Yang; Hong Liu
Journal:  PLoS One       Date:  2016-08-31       Impact factor: 3.240

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4.  Development and assessment of a hand assist device: GRIPIT.

Authors:  Byungchul Kim; Hyunki In; Dae-Young Lee; Kyu-Jin Cho
Journal:  J Neuroeng Rehabil       Date:  2017-02-21       Impact factor: 4.262

5.  Human grasping database for activities of daily living with depth, color and kinematic data streams.

Authors:  Artur Saudabayev; Zhanibek Rysbek; Raykhan Khassenova; Huseyin Atakan Varol
Journal:  Sci Data       Date:  2018-05-29       Impact factor: 6.444

6.  Design and Implementation of Arch Function for Adaptive Multi-Finger Prosthetic Hand.

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Journal:  Sensors (Basel)       Date:  2019-08-13       Impact factor: 3.576

7.  Remote Actuation Systems for Fully Wearable Assistive Devices: Requirements, Selection, and Optimization for Out-of-the-Lab Application of a Hand Exoskeleton.

Authors:  Jan Dittli; Urs A T Hofmann; Tobias Bützer; Gerwin Smit; Olivier Lambercy; Roger Gassert
Journal:  Front Robot AI       Date:  2021-01-28

8.  Dual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control.

Authors:  Eric J Earley; Levi J Hargrove; Todd A Kuiken
Journal:  Front Neurosci       Date:  2016-02-23       Impact factor: 4.677

9.  A preliminary investigation on the utility of temporal features of Force Myography in the two-class problem of grasp vs. no-grasp in the presence of upper-extremity movements.

Authors:  Gautam P Sadarangani; Carlo Menon
Journal:  Biomed Eng Online       Date:  2017-05-16       Impact factor: 2.819

10.  Taxonomy based analysis of force exchanges during object grasping and manipulation.

Authors:  Sandra Martin-Brevet; Nathanaël Jarrassé; Etienne Burdet; Agnès Roby-Brami
Journal:  PLoS One       Date:  2017-05-31       Impact factor: 3.240

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