The statistics of natural hand movements

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 d...

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Vydáno v:	Experimental brain research Ročník 188; číslo 2; s. 223 - 236
Hlavní autoři:	Ingram, James N., Körding, Konrad P., Howard, Ian S., Wolpert, Daniel M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer-Verlag 01.06.2008 Springer Springer Nature B.V
Témata:	Adult Biological and medical sciences Biomechanical Phenomena - instrumentation Biomechanical Phenomena - methods Biomedical and Life Sciences Biomedicine Brain Cortex Data Interpretation, Statistical Environmental movements Everyday life Fingers Fingers & toes Fingers - innervation Fingers - physiology Fundamental and applied biological sciences. Psychology Hand - innervation Hand - physiology Hand movements Hand Strength - physiology Hands Human subjects Humans Identity formation Independence Joints - physiology Kinematics Laboratories Male Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration Motor Cortex - physiology Movement - physiology Muscle, Skeletal - innervation Muscle, Skeletal - physiology Neurology Neurosciences Observer Variation Orientation - physiology Principal Component Analysis Principal components analysis Psychomotor Performance - physiology Pyramidal Tracts - physiology Range of Motion, Articular - physiology Research Article Sensors Somesthesis and somesthetic pathways (proprioception, exteroception, nociception); interoception; electrolocation. Sensory receptors Space Perception - physiology Statistical methods Statistics Vertebrates: nervous system and sense organs United States > US Chicago Illinois Movement statistics Human hand Digit independence Dimensionality of hand movements Human Gripping Motor pathway Thumb Central nervous system Joint Hand Encephalon Osteoarticular system Motor cortex Kinematics Principal component analysis
ISSN:	0014-4819, 1432-1106, 1432-1106
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Popis
Shrnutí:	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.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	0014-4819 1432-1106 1432-1106
DOI:	10.1007/s00221-008-1355-3