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dc.contributor.authorIngram, JN
dc.contributor.authorKörding, KP
dc.contributor.authorHoward, Ian
dc.contributor.authorWolpert, DM
dc.date.accessioned2016-06-02T12:02:48Z
dc.date.available2016-06-02T12:02:48Z
dc.date.issued2008-06
dc.identifier.issn0014-4819
dc.identifier.issn1432-1106
dc.identifier.urihttp://hdl.handle.net/10026.1/4797
dc.description.abstract

Humans constantly use their hands to interact with the environment and they engage spontaneously in a wide variety of manual activities during everyday life. In contrast, laboratory-based studies of hand function have used a limited range of predefined tasks. The natural movements made by the hand during everyday life have thus received little attention. Here, we developed a portable recording device that can be worn by subjects to track movements of their right hand as they go about their daily routine outside of a laboratory setting. We analyse the kinematic data using various statistical methods. Principal component analysis of the joint angular velocities showed that the first two components were highly conserved across subjects, explained 60% of the variance and were qualitatively similar to those reported in previous studies of reach-to-grasp movements. To examine the independence of the digits, we developed a measure based on the degree to which the movements of each digit could be linearly predicted from the movements of the other four digits. Our independence measure was highly correlated with results from previous studies of the hand, including the estimated size of the digit representations in primary motor cortex and other laboratory measures of digit individuation. Specifically, the thumb was found to be the most independent of the digits and the index finger was the most independent of the fingers. These results support and extend laboratory-based studies of the human hand.

dc.format.extent223-236
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.subjecthuman hand
dc.subjectdigit independence
dc.subjectdimensionality of hand movements
dc.subjectmovement statistics
dc.titleThe statistics of natural hand movements
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000256755300006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue2
plymouth.volume188
plymouth.publication-statusPublished
plymouth.journalExperimental Brain Research
dc.identifier.doi10.1007/s00221-008-1355-3
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeGermany
dcterms.dateAccepted2008-03-12
dc.identifier.eissn1432-1106
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1007/s00221-008-1355-3
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2008-06
rioxxterms.typeJournal Article/Review


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