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RSS FeedsSensors, Vol. 19, Pages 3681: Intelligent Framework for Learning Physics with Aikido (Martial Art) and Registered Sensors (Sensors)

 
 

24 august 2019 16:03:56

 
Sensors, Vol. 19, Pages 3681: Intelligent Framework for Learning Physics with Aikido (Martial Art) and Registered Sensors (Sensors)
 


Physics is considered a tough academic subject by learners. To leverage engagement in the learning of this STEM area, teachers try to come up with creative ideas about the design of their classroom lessons. Sports-related activities can foster intuitive knowledge about physics (gravity, speed, acceleration, etc.). In this context, martial arts also provide a novel way of visualizing these ideas when performing the predefined motions needed to master the associated techniques. The recent availability of cheap monitoring hardware (accelerometers, cameras, etc.) allows an easy tracking of the aforementioned movements, which in the case of aikido, usually involve genuine circular motions. In this paper, we begin by reporting a user study among high-school students showing that the physics concept of moment of inertia can be understood by watching live exhibitions of specific aikido techniques. Based on these findings, we later present Phy + Aik, a tool for educators that enables the production of innovative visual educational material consisting of high-quality videos (and live demonstrations) synchronized/tagged with the inertial data collected by sensors and visual tracking devices. We think that a similar approach, where sensors are automatically registered within an intelligent framework, can be explored to teach other difficult-to-learn STEM concepts.


 
252 viewsCategory: Chemistry, Physics
 
Sensors, Vol. 19, Pages 3682: Hybrid IRBM-BPNN Approach for Error Parameter Estimation of SINS on Aircraft (Sensors)
Sensors, Vol. 19, Pages 3680: Fusion of Video and Inertial Sensing for Deep Learning-Based Human Action Recognition (Sensors)
 
 
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