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09:24
Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
Published on: May 17, 2024
1.9K
Kids motor performances datasets.
Ahmad Bisyri Husin Musawi Maliki1, Mohamad Razali Abdullah1, Ahmad Nadzmi2
1East Coast Environment Research Institute, 21300 University of Sultan Zainal Abidin, Gong Badak Campus, Terengganu, Malaysia.
Data in Brief
|December 23, 2020
Summary
This study presents the Motor Performance Index for Malaysian 7-year-olds using the SEGAK physical fitness test. The data supports talent identification and establishes a baseline for children's gross motor skills and cognitive growth.
Area of Science:
- Pediatric physical fitness assessment
- Child development and motor skills research
Background:
- The Malaysian physical fitness test, SEGAK, provides data on children's motor performance.
- Understanding motor skills in 7-year-olds is crucial for development and early intervention.
Purpose of the Study:
- To develop a Motor Performance Index for 7-year-old children in Malaysia.
- To analyze factors influencing children's physical fitness based on SEGAK test data.
- To create a reusable database for sports talent identification and developmental research.
Main Methods:
- Data collected from national primary schools across Malaysia.
- Analysis of factors including gender, origin, and location.
- Inclusion of measurements such as age, weight, height, BMI, power, flexibility, coordination, and speed.
Main Results:
- Established a Motor Performance Index dataset for 7-year-old Malaysian children.
- Identified key variables correlating with physical fitness.
- Provided categorized data based on demographic and physical attributes.
Conclusions:
- The Motor Performance Index dataset is valuable for sports talent scouting.
- The data serves as a baseline for tracking children's biological growth, gross motor skills, and cognitive development.
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