Evaluation of the fine motor skills of children with DCD using the digitalised visual‐motor tracking system

Li, Ruimin; Li, Bin; Zhang, Shixiong; Hong, Fei; Lo, W.L.; Yu, Jie; Sit, Cindy H.P.; Wen, Desheng

doi:10.1049/joe.2017.0405

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…Of particular note is that strains of BXD mice share core symptoms displayed by individuals with DCD. For example, BXD75 and BXD86 had motor coordination difficulties that are not unlike individuals with DCD who have poor static and dynamic balance, 17,18,19 decreased spontaneous locomotion [20][21][22][23][24] and altered gait patterns. 5,25,26 As seen in BXD15, BXD27, BXD28, BXD75, and BXD86 strains of mice, children with DCD also struggle to improve their motor performance with increased opportunity to practice.…”

Section: Discussionmentioning

confidence: 99%

Investigating mouse motor coordination using quantitative trait locus analysis to model the genetic underpinnings of developmental coordination disorder

Gill

Rajan

Chow

et al. 2022

Preprint

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The fundamental skills for motor coordination and motor control emerge through development, from infancy to late childhood years. Neurodevelopmental disorders such as Developmental Coordination Disorder (DCD) lead to impaired acquisition of motor skills. This study investigated motor behaviors that reflect the core symptoms of human DCD through the use of BXD recombinant inbred lines of mice that are known to have divergent phenotypes in many behavioral traits, including motor activity. We sought to correlate behavior in basic motor control tasks with the known genotypes of these reference populations of mice using quantitative trait locus (QTL) mapping. We used twelve BXD lines with an average of 16 mice per group to assess the onset of reflexes during the early neonatal stage of life and differences in motor coordination using the open field, rotarod, and gait analyses during the adolescent/young adulthood period. Results indicated significant variability between lines in as to when neonatal reflexes appeared as well as significant line differences for all measures of motor coordination. Five lines (BXD15, BXD27, BXD28, BXD75, and BXD86) struggled with sensorimotor coordination as seen in gait analysis, rotarod, and open field, similar to human presentation of DCD. We identified three significant quantitative trait loci for gait on proximal Chr 3, Chr 4 and distal Chr 6. Based on expression, function, and polymorphism within the mapped QTL intervals, 7 candidate genes (Gpr63, Spata5, Trpc3, Cntn6, Chl1, Grm7 and Ogg1) emerged. This study offers new insights into mouse motor behavior which promises to be a first murine model to explore the genetics and neural correlates of DCD.

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Section: Discussionmentioning

confidence: 99%

Investigating mouse motor coordination using quantitative trait locus analysis to model the genetic underpinnings of developmental coordination disorder

Gill

Rajan

Chow

et al. 2022

Preprint

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“…Our work is the first to address prediction of pianist's skill level in an automated fashion. Skills-Assessment/Action Quality Assessment: While there has been quite some progress recently in the areas of SA [15][16][17][18][19][20][21][22] and AQA , none of these works address assessment of pianist's skills. Moreover, ours is the first work to take a multimodal learning approach in skills-assessment or action quality assessment.…”

Section: Related Workmentioning

confidence: 99%

Piano Skills Assessment

Parmar,

Reddy,

Morris

2021

Preprint

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Can a computer determine a piano player's skill level? Is it preferable to base this assessment on visual analysis of the player's performance or should we trust our ears over our eyes? Since current CNNs have difficulty processing long video videos, how can shorter clips be sampled to best reflect the players skill level? In this work, we collect and release a first-of-its-kind dataset for multimodal skill assessment focusing on assessing piano player's skill level, answer the asked questions, initiate work in automated evaluation of piano playing skills and provide baselines for future work.

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“…In our previous works [39], a marker-less visual-motor tracking system was developed, which captures both eye movement and body motion of children as well as scene information during DCD fine and gross motor assessment. With the help of the designed system, we conducted several studies [40,41] on fine movements of DCD in the early stage. In [40], the eye-hand coordination ability in the fine motor task was analyzed based on the visual-motor data, and the experimental results showed that the eyes of children without DCD have an obvious leading role, that is, their eyes focus on the target before their hands move.…”

Section: Introductionmentioning

confidence: 99%

“…With the help of the designed system, we conducted several studies [40,41] on fine movements of DCD in the early stage. In [40], the eye-hand coordination ability in the fine motor task was analyzed based on the visual-motor data, and the experimental results showed that the eyes of children without DCD have an obvious leading role, that is, their eyes focus on the target before their hands move. In [41], automated fine motor evaluation of DCD was achieved by the designed task localization algorithm and task evaluation algorithm.…”

Section: Introductionmentioning

confidence: 99%

Behavior Analysis With Integrated Visual-Motor Tracking for Developmental Coordination Disorder

Fang²,

Zheng

et al. 2023

IEEE Trans. Neural Syst. Rehabil. Eng.

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Developmental coordination disorder (DCD) is a motor learning disability with a prevalence of 5%-6% in school-aged children, which may seriously affect the physical and mental health of affected children. Behavior analysis of children helps explore the mechanism of DCD and develop better diagnosis protocols. In this study, we investigate the behavioral pattern of children with DCD in the gross movement using a visual-motor tracking system. First, visual components of interest are detected and extracted using a series of intelligent algorithms. Then, the kinematic features are defined and calculated to describe the children behavior, including eye movement, body movement, and interacting object trajectory. Finally, statistical analysis is conducted both between groups with different motor coordination abilities and between groups with different task outcomes. The experimental results show that groups of children with different coordination abilities differ significantly both in the duration of eye gaze focusing on the target and in the degree of concentration during aiming, which can serve as behavioral markers to distinguish children with DCD. This finding also provides precise guidance for the interventions for children with DCD. In addition to increasing the amount of time spent on concentrating, we should focus on improving children's attention levels.

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Evaluation of the fine motor skills of children with DCD using the digitalised visual‐motor tracking system

Cited by 9 publications

References 21 publications

Investigating mouse motor coordination using quantitative trait locus analysis to model the genetic underpinnings of developmental coordination disorder

Investigating mouse motor coordination using quantitative trait locus analysis to model the genetic underpinnings of developmental coordination disorder

Piano Skills Assessment

Behavior Analysis With Integrated Visual-Motor Tracking for Developmental Coordination Disorder

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