Utilizing Video and Sensor Technology for Analyzing Non-Swimmer Children in Swimming Education Programs through Observational Methods
Author:
Affiliation:
1. Computer Engineering/Texas A&M University/Sketch Recognition Lab, Texas A&M, United States
2. Computer Engineering/Texas A&M University/Sketch Recognition Lab, Texas A&M University, United States
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3613905.3650986
Reference24 articles.
1. Association Between Swimming Lessons and Drowning in Childhood
2. Teaching Foundational Aquatic Skills to Children in Open Water Environments
3. An effective swimming stroke recognition system utilizing deep learning based on inertial measurement units
4. Framework for Intelligent Swimming Analytics with Wearable Sensors for Stroke Classification
5. Red Cross. 2015. Red Cross Finds 61% of Children Can’t Swim. http://www.redcross.org/news/article/ca/sacramento/Red-Cross-Finds-61-of-Children-Cant-Swim
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