31 research outputs found

    Analysis of finger movement coordination during the Variable Dexterity Test and comparative activities of daily living

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    Background/Aims: This study aimed to analyse and compare finger coordination patterns during the performance of the Variable Dexterity Test (VDT) and comparative daily tasks. Methods: An optoelectronic system was used to record the joint angles of 10 healthy participants performing the VDT and daily tasks. Joint angles from digits 1 to 5 were cross-correlated across the tasks, providing a measure of the degree of finger movement coordination. Results: Correlation coefficients showed identifiable coordination patterns among the finger movements under analysis. Low correlation coefficients suggested the presence of independent finger movements during the performance of the selected tasks. Conclusions: Finger movement coordination patterns observed during activities of daily living are comparable with the patterns observed during performance of the Variable Dexterity Test for the three grasping patterns analysed in the stud

    The statistics of natural hand movements.

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    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

    A comparing study between people with reduced hand function and children

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    This study was conducted in collaboration with Tetra Pak® [1] measuring the hand strength, grip ability, hand size to judge how easy it was to open three packages with a group of 10 people with reduced hand function and 14 children, six years old. The result showed that the hand strength between the group with reduced hand function and the children was quite similar. Also the results from the grip ability test and their judgement of how it was to handle the package was similar. The size of the participants' hands was the only thing that really differed between the groups. This is an interesting input for designers developing products and packages that should be easy to use for children, but may be even more interesting for developing products where there is a need to exclude children or child protective packages. © 2014 Springer International Publishing.Export Date: 20 August 2014</p

    Real-Time 3D Hand Shape Estimation Based on Inverse Kinematics and Physical Constraints

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