A Novel Approach to Diagnosing Motor Skills

Aguirre, Aitor; Lozano-Rodero, Alberto; Matey, Luis; Villamañe, Mikel; Ferrero, Begoña

doi:10.1109/tlt.2014.2340878

Cited by 9 publications

(4 citation statements)

References 37 publications

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“…The use of motion capture technology is well documented in wellbeing, 23 education 24 and physical therapy. 25 Studies reporting on the potential of Microsoft Kinect™ to recognise and assess posture, 26 upper-limb coordination, 27 visual motor integration 28 and manipulative motor skills 29 have been conducted. However, its application to assess motor development in children is extremely scarce or non-existent.…”

Section: Literature Reviewmentioning

confidence: 99%

Using motion capture technology to assess locomotor development in children

Bossavit

Arnedillo-Sánchez

2022

DIGITAL HEALTH

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Objective Motor and cognitive development share biological background within the prefrontal cortex and cerebellum. Monitoring motor development is relevant to identify children at risk of developmental delays. However, access to timely assessment is prevented by its availability and cost. Affordable motion capture technology may provide an alternative to human assessment. Methods MotorSense uses this technology to guide and assess children executing age-related developmental motor tasks. It incorporates advanced heuristics informed by pattern recognition principles based on the developmental sequences of motor skills. MotorSense was evaluated with 16 4–6 year-old children from a rural primary school. Results A total of 506 jumps, 2415 steps and 831 hops were analysed. The analysis illustrates MotorSense Accuracy (MA), recognising jump forward (89.96%), jump high (83.34%), jump sideway (85.63%), hop (74.58%) and jog (92.34%), is as good as the sensor's precision. The analysis of the tasks’ execution shows a high level of agreement between human and MotorSense's assessment on jump forward (91%), jump high (99%), jump sideway (93%), hop (94%) and jog (92%). Conclusions MotorSense helps address the shortage of affordable technologies to support the assessment of motor development using graded age-related developmental motor tasks. Furthermore, it could contribute towards the tele-detection of motor developmental delays.

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Section: Literature Reviewmentioning

confidence: 99%

Using motion capture technology to assess locomotor development in children

Bossavit

Arnedillo-Sánchez

2022

DIGITAL HEALTH

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“…ADAPT framework is based on ULISES metamodel and its runtime kernel [4]. The basis is a domain-independent metamodel inspired by the cognitive process that real domain experts or tutors (e.g.…”

Section: Basis Of the Frameworkmentioning

confidence: 99%

“…Once observations have been generated, the interpretation subsystem or interpreter discerns which steps and situations are being executed in the IS. Those steps and situations are modelled using a constraint based approach [4]. That is to say, user establishes constraints to define those two elements and in each cycle, those constraints are evaluated.…”

Section: B Interpretation and Diagnosis Levelsmentioning

confidence: 99%

ADAPT: an Automatic Diagnosis of Activity and Processes in auTomation environments

Fernandez

Aguirre

Andres

et al. 2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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In an automated industrial environment, a large volume of data and signals is available, both from sensors and actuators in machinery and from the interaction with operators and users. Operation diagnosis can have multiple applications from a learning point of view (e.g. staff training) or in terms of process assessment. This work proposes a methodology for implementing an Intelligent System by means of any interactive system connected through OPC UA standard. A digital twin of the process supports configuration and validation, prior to commissioning. Activity is interpreted and diagnosed according to the context in which it occurs. Step order in sequence, step duration and sequence duration are analyzed in a use case based on a PLC-controlled robotic cell in which it is operated both in automatic and manual mode for adjusting a linear table's positioning.

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“…It is worth observing that the importance of computer-supported assessment is not to be regarded as strictly limited to the education domain. For instance, there exist use cases where automatic assessment tools have been used, e.g., to implement hiring procedures in software development companies [12], to design intelligent platforms for physical rehabilitation [13], [14], to score sport and art performances [15], [16], etc.…”

Section: Introductionmentioning

confidence: 99%

Point Cloud-Based Automatic Assessment of 3D Computer Animation Courseworks

Paravati

Lamberti

Gatteschi

et al. 2017

IEEE Trans. Learning Technol.

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Computer-supported assessment tools can bring significant benefits to both students and teachers. When integrated in traditional education workflows, they may help to reduce the time required to perform the evaluation and consolidate the perception of fairness of the overall process. When integrated within on-line intelligent tutoring systems, they could provide students with a timely feedback and support self-assessment activities. The current work presents an alternative approach (and not just a "yet-anotherimplementation") to the problem of automatically evaluating technical skills needed to create 3D computer animations. Although some solutions have been reported already in the literature, their applicability is partially constrained, as they require the teaching staff to define evaluation criteria that are strictly linked to the particular animation technique being assessed. Students are forced to operate in environments where they can only perform a part of the required animation steps, by using a pre-defined set of techniques and tools. To address such limitations, the proposed system exploits shape-and time-based features extracted from the 3D point clouds (i.e., the set of data points) describing animated geometries, which are independent of the particular animation techniques used. Experimental observations collected in the evaluation of course assignments in which students were asked to recreate 3D animations of deformable meshes prepared by the teaching staff showed a good correlation between automatic and manual evaluations. Obtained results confirmed the ability of the proposed approach to cope with heterogeneous evaluation tasks in which the relevant learning outcomes can be properly considered.

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A Novel Approach to Diagnosing Motor Skills

Cited by 9 publications

References 37 publications

Using motion capture technology to assess locomotor development in children

Using motion capture technology to assess locomotor development in children

ADAPT: an Automatic Diagnosis of Activity and Processes in auTomation environments

Point Cloud-Based Automatic Assessment of 3D Computer Animation Courseworks

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