scholarly journals Arthritic Hand-Finger Movement Similarity Measurements: Tolerance Near Set Approach

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Christopher Henry ◽  
James F. Peters
Keyword(s):  
Hausdorff Distance ◽  
Distance Measure ◽  
Hand Movement ◽  
Image Sequences ◽  
Hand Movements ◽  
Finger Movement ◽  
Degree Of Separation ◽  
Resemblance Measures ◽  
Finger Motion ◽  
Rehabilitation Exercise

The problem considered in this paper is how to measure the degree of resemblance between nonarthritic and arthritic hand movements during rehabilitation exercise. The solution to this problem stems from recent work on a tolerance space view of digital images and the introduction of image resemblance measures. The motivation for this work is both to quantify and to visualize differences between hand-finger movements in an effort to provide clinicians and physicians with indications of the efficacy of the prescribed rehabilitation exercise. The more recent introduction of tolerance near sets has led to a useful approach for measuring the similarity of sets of objects and their application to the problem of classifying image sequences extracted from videos showing finger-hand movement during rehabilitation exercise. The approach to measuring the resemblance between hand movement images introduced in this paper is based on an application of the well-known Hausdorff distance measure and a tolerance nearness measure. The contribution of this paper is an approach to measuring as well as visualizing the degree of separation between images in arthritic and nonarthritic hand-finger motion videos captured during rehabilitation exercise.

Context-dependent relationship in high-resolution micro-ECoG studies during finger movements

2020 ◽  
Vol 132 (5) ◽  
pp. 1358-1366
Author(s):  
Chao-Hung Kuo ◽  
Timothy M. Blakely ◽  
Jeremiah D. Wander ◽  
Devapratim Sarma ◽  
Jing Wu ◽  
...  
Keyword(s):  
High Resolution ◽  
Sensorimotor Cortex ◽  
Index Finger ◽  
Hand Movement ◽  
Cortical Activation ◽  
Hand Movements ◽  
Finger Movements ◽  
Thumb Movement ◽  
Neurosurgical Patients ◽  
The Relationship

OBJECTIVEThe activation of the sensorimotor cortex as measured by electrocorticographic (ECoG) signals has been correlated with contralateral hand movements in humans, as precisely as the level of individual digits. However, the relationship between individual and multiple synergistic finger movements and the neural signal as detected by ECoG has not been fully explored. The authors used intraoperative high-resolution micro-ECoG (µECoG) on the sensorimotor cortex to link neural signals to finger movements across several context-specific motor tasks.METHODSThree neurosurgical patients with cortical lesions over eloquent regions participated. During awake craniotomy, a sensorimotor cortex area of hand movement was localized by high-frequency responses measured by an 8 × 8 µECoG grid of 3-mm interelectrode spacing. Patients performed a flexion movement of the thumb or index finger, or a pinch movement of both, based on a visual cue. High-gamma (HG; 70–230 Hz) filtered µECoG was used to identify dominant electrodes associated with thumb and index movement. Hand movements were recorded by a dataglove simultaneously with µECoG recording.RESULTSIn all 3 patients, the electrodes controlling thumb and index finger movements were identifiable approximately 3–6-mm apart by the HG-filtered µECoG signal. For HG power of cortical activation measured with µECoG, the thumb and index signals in the pinch movement were similar to those observed during thumb-only and index-only movement, respectively (all p > 0.05). Index finger movements, measured by the dataglove joint angles, were similar in both the index-only and pinch movements (p > 0.05). However, despite similar activation across the conditions, markedly decreased thumb movement was observed in pinch relative to independent thumb-only movement (all p < 0.05).CONCLUSIONSHG-filtered µECoG signals effectively identify dominant regions associated with thumb and index finger movement. For pinch, the µECoG signal comprises a combination of the signals from individual thumb and index movements. However, while the relationship between the index finger joint angle and HG-filtered signal remains consistent between conditions, there is not a fixed relationship for thumb movement. Although the HG-filtered µECoG signal is similar in both thumb-only and pinch conditions, the actual thumb movement is markedly smaller in the pinch condition than in the thumb-only condition. This implies a nonlinear relationship between the cortical signal and the motor output for some, but importantly not all, movement types. This analysis provides insight into the tuning of the motor cortex toward specific types of motor behaviors.

Hand Movements and Nondominant Fluency in Bilinguals

1979 ◽  
Vol 48 (1) ◽  
pp. 207-214 ◽  
Author(s):  
Luis R. Marcos
Keyword(s):  
Cognitive Processes ◽  
Motor Behavior ◽  
Hand Movement ◽  
Movement Behavior ◽  
Hand Movements ◽  
Language Fluency ◽  
Movement Activity

16 subordinate bilingual subjects produced 5-min. monologues in their nondominant languages, i.e., English or Spanish. Hand-movement activity manifested during the videotape monologues was scored and related to measures of fluency in the nondominant language. The hand-movement behavior categorized as Groping Movement was significantly related to all of the nondominant-language fluency measures. These correlations support the assumption that Groping Movement may have a function in the process of verbal encoding. The results are discussed in terms of the possibility of monitoring central cognitive processes through the study of “visible” motor behavior.

scholarly journals Eye movements do not play an important role in the adaptation of hand tracking to a visuomotor rotation

2019 ◽  
Vol 121 (5) ◽  
pp. 1967-1976 ◽  
Author(s):  
Niels Gouirand ◽  
James Mathew ◽  
Eli Brenner ◽  
Frederic R. Danion
Keyword(s):  
Eye Movements ◽  
Time Course ◽  
Motor Behavior ◽  
Hand Movement ◽  
Visuomotor Adaptation ◽  
Online Control ◽  
Hand Movements ◽  
Hand Tracking ◽  
Gaze Fixation ◽  
The Gaze

Adapting hand movements to changes in our body or the environment is essential for skilled motor behavior. Although eye movements are known to assist hand movement control, how eye movements might contribute to the adaptation of hand movements remains largely unexplored. To determine to what extent eye movements contribute to visuomotor adaptation of hand tracking, participants were asked to track a visual target that followed an unpredictable trajectory with a cursor using a joystick. During blocks of trials, participants were either allowed to look wherever they liked or required to fixate a cross at the center of the screen. Eye movements were tracked to ensure gaze fixation as well as to examine free gaze behavior. The cursor initially responded normally to the joystick, but after several trials, the direction in which it responded was rotated by 90°. Although fixating the eyes had a detrimental influence on hand tracking performance, participants exhibited a rather similar time course of adaptation to rotated visual feedback in the gaze-fixed and gaze-free conditions. More importantly, there was extensive transfer of adaptation between the gaze-fixed and gaze-free conditions. We conclude that although eye movements are relevant for the online control of hand tracking, they do not play an important role in the visuomotor adaptation of such tracking. These results suggest that participants do not adapt by changing the mapping between eye and hand movements, but rather by changing the mapping between hand movements and the cursor’s motion independently of eye movements. NEW & NOTEWORTHY Eye movements assist hand movements in everyday activities, but their contribution to visuomotor adaptation remains largely unknown. We compared adaptation of hand tracking under free gaze and fixed gaze. Although our results confirm that following the target with the eyes increases the accuracy of hand movements, they unexpectedly demonstrate that gaze fixation does not hinder adaptation. These results suggest that eye movements have distinct contributions for online control and visuomotor adaptation of hand movements.

Hand Movement Training in Braille Reading

1981 ◽  
Vol 75 (8) ◽  
pp. 327-331 ◽  
Author(s):  
Diane P. Wormsley
Keyword(s):  
Character Recognition ◽  
Hand Movement ◽  
Movement Pattern ◽  
Hand Movements ◽  
Dramatic Decrease ◽  
Movement Training ◽  
Perceptual Ability ◽  
Tracking Movements

Twenty-one children ages 6 though 13 were taught to use their hands independently when reading braille to determine how this pattern of hand movements affected reading variables, excluding character recognition. Although all the children learned this pattern of hand movements during the 20 days scheduled for training, only nine children exhibited a dramatic decrease in inefficient tracking movements such as pauses and scrubbing motions. Because these children were younger and more intelligent than the others, read braille more slowly, and had received less training in braille at school, the results strongly suggested that skill in tracking and use of an efficient hand movement pattern is closely tied to perceptual ability. Thus when teaching children to read braille, the motor aspects of the task should be combined with the perceptual aspects from the beginning.

scholarly journals Distinct neuronal organizations of the caudal cingulate motor area and supplementary motor area in monkeys for ipsilateral and contralateral hand movements

2015 ◽  
Vol 113 (7) ◽  
pp. 2845-2858 ◽  
Author(s):  
Yoshihisa Nakayama ◽  
Osamu Yokoyama ◽  
Eiji Hoshi
Keyword(s):  
Neuronal Activity ◽  
Supplementary Motor Area ◽  
Functional Organization ◽  
Hand Movement ◽  
Motor Area ◽  
Hand Movements ◽  
Button Press ◽  
Cingulate Motor Area ◽  
Contralateral Hand ◽  
Hand Preferences

The caudal cingulate motor area (CMAc) and the supplementary motor area (SMA) play important roles in movement execution. The present study aimed to characterize the functional organization of these regions during movement by investigating laterality representations in the CMAc and SMA of monkeys via an examination of neuronal activity during a button press movement with either the right or left hand. Three types of movement-related neuronal activity were observed: 1) with only the contralateral hand, 2) with only the ipsilateral hand, and 3) with either hand. Neurons in the CMAc represented contralateral and ipsilateral hand movements to the same degree, whereas neuronal representations in the SMA were biased toward contralateral hand movement. Furthermore, recording neuronal activities using a linear-array multicontact electrode with 24 contacts spaced 150 μm apart allowed us to analyze the spatial distribution of neurons exhibiting particular hand preferences at the submillimeter scale. The CMAc and SMA displayed distinct microarchitectural organizations. The contralateral, ipsilateral, and bilateral CMAc neurons were distributed homogeneously, whereas SMA neurons exhibiting identical hand preferences tended to cluster. These findings indicate that the CMAc, which is functionally organized in a less structured manner than the SMA is, controls contralateral and ipsilateral hand movements in a counterbalanced fashion, whereas the SMA, which is more structured, preferentially controls contralateral hand movements.

The Role of Hand Movement in Spatial Serial Order Memory

2020 ◽  
Vol 33 (3) ◽  
pp. 313-335
Author(s):  
Yangke Zhao ◽  
Chuansheng Chen ◽  
Xiuying Qian
Keyword(s):  
Hand Movement ◽  
Serial Order ◽  
Hand Movements ◽  
Facilitation Effect ◽  
Serial Memory ◽  
Backward Recall ◽  
Passive Viewing ◽  
Memory Experiment ◽  
Serial Order Memory

Abstract Research on serial order memory has traditionally used tasks where participants passively view the items. A few studies that included hand movement showed that such movement interfered with serial order memory. In the present study of three experiments, we investigated whether and how hand movements improved spatial serial order memory. Experiment 1 showed that manual tracing (i.e., hand movements that traced the presentation of stimuli on the modified eCorsi block tapping task) improved the performance of backward recall as compared to no manual tracing (the control condition). Experiment 2 showed that the facilitation effect resulted from voluntary hand movements and could not be achieved via passive viewing of another person’s manual tracing. Experiment 3 showed that it was the temporal, not the spatial, signal within manual tracing that facilitated spatial serial memory.

Vision and Kinesthesis in Accuracy of Hand Movement

1989 ◽  
Vol 68 (3) ◽  
pp. 707-714 ◽  
Author(s):  
Eugene A. Lovelace
Keyword(s):  
College Students ◽  
Target Location ◽  
Visual Target ◽  
Hand Movement ◽  
Passive Movement ◽  
Visual Performance ◽  
Hand Movements ◽  
Target Condition ◽  
Normal Hand ◽  
Better Than

Two experiments examined the accuracy with which college students were able to touch a target when knowledge of the target location had been gained either visually, kinesthetically, or by both modalities. In all but “baseline” trials, individuals were not allowed to guide the hand visually and so relied on kinesthetic cues during movement to the target location. No feedback was provided. Contrary to students' expectations, accuracy of the movements was greater when the target location had been given kinesthetically (passive movement to the target) as opposed to visually. When target location was provided by seeing one's hand move to the target (kinesthetic plus visual), performance was slightly poorer (though nonsignificantly) than for the purely kinesthetic condition, but significantly better than for a purely visual target condition. These results are discussed in terms of visual dominance and the roles of vision and kinesthesis in guiding normal hand movements.

Personality and Body-Focused Hand Movements

1989 ◽  
Vol 68 (3) ◽  
pp. 907-913 ◽  
Author(s):  
Andrew N. Kenner
Keyword(s):  
Information Processing ◽  
Individual Differences ◽  
Field Dependence ◽  
Hand Movement ◽  
Hand Movements ◽  
Processing Strategies ◽  
Ordinal Consistency

The longer-term consistency with which subjects display apparently irrelevant self- or object-manipulations was examined by observing the subjects during the performance of two tasks followed by a repetition of these tasks after a 6-mo. interval. Individual subjects could not be characterized as consistently high or low producers of these movements across tasks and performances. Greater ordinal consistency among the subjects' body-focused movement frequencies was observed for the two different tasks conducted on the same day than was observed for the same task after 6 mo. Correlations between measures of anxiety and field-dependence and frequencies of body-focused movement varied significantly, not only with the task, but with repetitions of the same task after 6 mo. These results cast some doubt on explanations of individual differences in performance of body-focused hand movement through appeal to long-term individual differences in information-processing strategies.

Image thresholding based on template matching with arctangent Hausdorff distance measure

2013 ◽  
Vol 51 (5) ◽  
pp. 600-609 ◽  
Author(s):  
Yaobin Zou ◽  
Fangmin Dong ◽  
Bangjun Lei ◽  
Lulu Fang ◽  
Shuifa Sun
Keyword(s):  
Hausdorff Distance ◽  
Template Matching ◽  
Distance Measure ◽  
Image Thresholding
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