A fine motor skill training system using multi-fingered haptic interface robot

2015 ◽  
Vol 84 ◽  
pp. 41-50 ◽  
Author(s):  
T. Endo ◽  
H. Kawasaki
2010 ◽  
Vol 9 (3) ◽  
pp. 75-80
Author(s):  
Dangxiao Wang ◽  
Yuru Zhang ◽  
Jun Wu

Model of motor skill pattern is a fundamental component to support feedback mechanism in haptic-assisted motor skill training. Because of the diversity of manipulation tasks in real world, it is a challenge to construct a generic model for various motor skill patterns. Considering fine motor skill mediated by a rigid tool, criteria for a general model of motor skill are identified: generality, quantifiable representation and the capability to support real-time error computation. A hierarchical motor skill model is proposed in a two-level architecture: the spatial-temporal coupling mechanism in task level and the quantified representation in action level. The purpose of task level is to decompose a motor skill into basic elements that can be described with quantified representation. The purpose of the action level is to give quantified representation in each single dimension in the Cartesian Space. Based on the combinations of independent variants, mapping functions in the action level are classified as five basic types. The proposed model can provide a systematical view to compare various motor skills in literatures, and thus can help us to identify unexplored topics in haptic-enabled motor skill training area. Furthermore, examples of two motor skill tasks show that the proposed model can provide a systematic way to design training system for complex motor skills.


2021 ◽  
Author(s):  
Benedikt Taud ◽  
Robert Lindenberg ◽  
Robert Darkow ◽  
Jasmin Wevers ◽  
Dorothee Höfflin ◽  
...  

Abstract Background: Transcranial direct current stimulation (tDCS) may improve motor recovery after stroke. This study investigated if uni- and bihemispheric tDCS of the motor cortex can enhances fine motor training outcome and transfer to clinical assessments of upper motor function. Methods: In a randomized, double-blinded, sham-controlled trial, forty chronic stroke patients underwent five days of fine motor skill training of the paretic hand with either unilateral or bilateral (N=15/group) or placebo tDCS (N=10). Immediate and long-term (three months) effects on training outcome and motor recovery (Upper Extremity Fugl-Meyer, UE-FM, Wolf Motor Function Test, WMFT) were investigated. Results: Trained task performance significantly improved independently of tDCS in a curvilinear fashion. Anodal, but not dual tDCS resulted in a steeper learning curve on the UE-FM. Neither training nor combined training-tDCS improved WMFT performance.Conclusions: Fine motor skill training can facilitate recovery of upper extremity function. Minimal add-on effects of tDCS were observed.Clinical Trial Registration-URL: NCT01969097 retrospectively registered on 25/10/2013.


Author(s):  
Michael Clamann ◽  
David B. Kaber

This work compared two methods to augment fine motor skill training using haptic control, including techniques that guide (e.g., virtual fixtures) and challenge the trainee (e.g., error amplification). A prototype system capable of displaying virtual fixtures or error amplification during a writing task was evaluated to determine the extent to which performance in each condition transfers to an unassisted test condition. An experiment comparing training effects was executed in which participants were trained to draw a series of letters from a foreign alphabet with the non-dominant hand. The results showed that task accuracy when training with virtual fixtures did not transfer to an unassisted test condition. Training with error amplification, in contrast, increased accuracy in unaided test trials. These findings suggest that amplifying errors may be used to accelerate fine motor training for unimpaired individuals.


2009 ◽  
Vol 26 (1) ◽  
pp. 21-37 ◽  
Author(s):  
Eva D’Hondt ◽  
Benedicte Deforche ◽  
Ilse De Bourdeaudhuij ◽  
Matthieu Lenoir

The purpose of this study was to investigate gross and fine motor skill in overweight and obese children compared with normal-weight peers. According to international cut-off points for Body Mass Index (BMI) from Cole et al. (2000), all 117 participants (5–10 year) were classified as being normal-weight, overweight, or obese. Level of motor skill was assessed using the Movement Assessment Battery for Children (MABC). Scores for balance (p < .01) and ball skills (p < .05) were significantly better in normal-weight and overweight children as compared with their obese counterparts. A similar trend was found for manual dexterity (p < .10). This study demonstrates that general motor skill level is lower in obese children than in normal-weight and overweight peers.


JURNAL RUPA ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 122
Author(s):  
Noor Hasyim ◽  
Ati Bahiyati Utami Putri

Traditional games which involved fine motor skill are becoming obsolete nowadays, one of them is engklek. In addition to technological developments, the increasingly diminishing playgrounds and the growing individuality of the urban community has made traditional games much more forgotten. The preservation of engklek needs to be done through a contemporary approach involving recent technologies, one of them is using video games. Video games has potential to grow children's curiosity towards some knowledge that become increasingly rare. The aim of digitization of englek is to introduce traditional games in order to preserve the culture of traditional game for Indonesian children, especially for those whom live in urban areas today. The final result of this design process is an Android game application called PERON Engklek that would introduce traditional games through digital technology for children nowadays. By doing so, it would motivate them to play with their friends.


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