Effects of Developmental Task Constraints on Kinematic Synergies during Catching in Children with Developmental Delays

Parvinpour, Shahab; Shafizadeh, Mohsen; Balali, Marzie; Abbasi, Ali; Wheat, Jonathan; Davids, Keith

doi:10.1080/00222895.2019.1649998

Cited by 3 publications

(3 citation statements)

References 37 publications

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“…Only a few of these tools are free-access (n=2/7, 28.6%). Most codes were implemented in Python (SCR_008394) and supported by libraries such as OpenGL (which produces 2D and 3D graphics) [29][30][31] and Numpy (SCR_008633) (which creates vectors and matrices, and mathematical functions) (45) that helps to process images that are captured in real-time and obtain an accurate representation of the movement.…”

Section: Resultsmentioning

confidence: 99%

Development, validation and use of artificial-intelligence-related technologies to assess basic motor skills in children: a scoping review

Figueroa-Quiñones,

Ipanaque-Neyra,

Gómez Hurtado

et al. 2023

F1000Res

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Background: In basic motor skills evaluation, two observersers can eventually mark the same child’s performance differently. When systematic, this brings serious noise to the assessment. New motion sensing and tracking technologies offer more precise measures of these children’s capabilities. We aimed to review current development, validation and use of artificial intelligence-related technologies that assess basic motor skills in children aged 3 to 6 years old. Methods: We performed a scoping review in Medline, EBSCO, IEEE and Web of Science databases. PRISMA Extension recommendations for scoping reviews were applied for the full review, whereas the COSMIN criteria for diagnostic instruments helped to evaluate the validation of the artificial intelligence (AI)-related measurements. Results: We found 672 studies, from which 12 were finally selected, 7 related to development and validation and 5 related to use. From the 7 studies, we tracked 10 other publications updating and/or using these technologies. Engineering work and technological features have been prioritised in studies about AI-related technologies. The validation of these algorithms was strictly based on engineering criteria; it means, no substantive knowledge of the medical or psychological aspects of motor skills was integrated into the validation process. Technical features typically evaluated in psychometric instruments designed for assessing motor skills in children were also ignored (e.g., COSMIN criteria). The use of these AI-related technologies in scientific research is still limited. Conclusion: Clinical measurement standards have not been integrated into the development of AI-related technologies for measuring basic motor skills in children. This compromises the validity, reliability and practical utility of these tools, so future improvement in this type of research is needed.

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Section: Resultsmentioning

confidence: 99%

Development, validation and use of artificial-intelligence-related technologies to assess basic motor skills in children: a scoping review

Figueroa-Quiñones,

Ipanaque-Neyra,

Gómez Hurtado

et al. 2023

F1000Res

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“…Therefore, the results suggest that head movements can be used to evaluate catching skills that are not reflected in the catch rate. For example, in a previous study that examined catching motion using a motion capture system, reaching and catching motions during ball catching were measured to evaluate catching ability [ 24 ]. It is possible that head movements are also linked to the catching motion.…”

Section: Discussionmentioning

confidence: 99%

Properties of Gaze Strategies Based on Eye–Head Coordination in a Ball-Catching Task

Ono,

Yoshimura,

Shinkai

et al. 2024

Vision

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Visual motion information plays an important role in the control of movements in sports. Skilled ball players are thought to acquire accurate visual information by using an effective visual search strategy with eye and head movements. However, differences in catching ability and gaze movements due to sports experience and expertise have not been clarified. Therefore, the purpose of this study was to determine the characteristics of gaze strategies based on eye and head movements during a ball-catching task in athlete and novice groups. Participants were softball and tennis players and college students who were not experienced in ball sports (novice). They performed a one-handed catching task using a tennis ball-shooting machine, which was placed at 9 m in front of the participants, and two conditions were set depending on the height of the ball trajectory (high and low conditions). Their head and eye velocities were detected using a gyroscope and electrooculography (EOG) during the task. Our results showed that the upward head velocity and the downward eye velocity were lower in the softball group than in the tennis and novice groups. When the head was pitched upward, the downward eye velocity was induced from the vestibulo-ocular reflex (VOR) during ball catching. Therefore, it is suggested that skilled ball players have relatively stable head and eye movements, which may lead to an effective gaze strategy. An advantage of the stationary gaze in the softball group could be to acquire visual information about the surroundings other than the ball.

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“…The strength and numbers of synergy might be changed because of developmental problems (Utley, Steenbergen, & Astill, 2007;Sekaran et al, 2012) and developmental delays (Parvinpour et al, 2019). For example, Parvinpour et al, (2019) identified two kinematic synergies in two-hand catching: one for reaching and one for catching. They also showed that one more synergy, retaining, emerged after the intervention in the transfer test.…”

Section: Introductionmentioning

confidence: 99%

Effect of Motor Development Levels on Kinematic Synergies During Two-Hand Catching in Children

2020

Self Cite

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The ability to coordinate different body parts under different constraints that are imposed by organism, environment, and tasks during motor development might be different in children. The aim of this study was to examine whether children with different motor development levels are different with regard to multijoint coordination during two-hand catching. Eighty-four children (age: 6.05 ±0.67 years) who were assessed on object control skills were recruited voluntarily. The biomechanical model was defined from 20 movements of seven segments (shoulders, elbows, wrists, and torso), and the principal component analysis was used to quantify the multijoint coordination and kinematic synergies during catching. The results showed that the redundancy of joints in two-hand catching is controlled by three kinematic synergies that defined the majority of the variance. The participants who were grouped based on their development levels did not show differences in the number and strength of synergies; however, they were different in the utilization of the kinematic synergies for successful catching. In conclusion, the number and the strength of the kinematic synergies during two-hand catching are not affected by the developmental levels and are related to the nature of the task.

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Effects of Developmental Task Constraints on Kinematic Synergies during Catching in Children with Developmental Delays

Abstract: Effects of a developmental task constraints intervention on kinematic synergies during two-hand catching in children with developmental delays.

Cited by 3 publications

References 37 publications

Development, validation and use of artificial-intelligence-related technologies to assess basic motor skills in children: a scoping review

Development, validation and use of artificial-intelligence-related technologies to assess basic motor skills in children: a scoping review

Properties of Gaze Strategies Based on Eye–Head Coordination in a Ball-Catching Task

Effect of Motor Development Levels on Kinematic Synergies During Two-Hand Catching in Children

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