In order to promote the close integration of teaching resources with the actual rescue needs and to improve the application effect and practicability of teaching resources, this study carries out research on the detection method of teaching resources for sports and medical emergency rescue based on the posture matching technology. First, the database of teaching resources for sports medical emergency rescue is designed to categorize, store, and manage the resources; second, the types, scope, and accuracy requirements of posture data for sports medical emergency rescue are clarified, and the posture data acquisition equipment is selected to complete the data acquisition; third, a distribution structure model based on semantic properties is constructed to extract the features of teaching resources; finally, resource detection criteria are set up from multiple dimensions to provide an all-round detection of the resources. Finally, we set the resource detection criteria from multiple dimensions to detect the resources in an all-round way. The experimental results show that, after applying this method, the sports and medical emergency rescue gestures have a high matching degree and can effectively capture and evaluate the rescuer’s action execution, indicating that the teaching resources detected by this method can better assist the rescuer to improve the level of first-aid skills.

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A Posture-Matching-Based Approach to Detecting Teaching Resources for Sports Medicine Emergency Response

  • Zhenke Ma

摘要

In order to promote the close integration of teaching resources with the actual rescue needs and to improve the application effect and practicability of teaching resources, this study carries out research on the detection method of teaching resources for sports and medical emergency rescue based on the posture matching technology. First, the database of teaching resources for sports medical emergency rescue is designed to categorize, store, and manage the resources; second, the types, scope, and accuracy requirements of posture data for sports medical emergency rescue are clarified, and the posture data acquisition equipment is selected to complete the data acquisition; third, a distribution structure model based on semantic properties is constructed to extract the features of teaching resources; finally, resource detection criteria are set up from multiple dimensions to provide an all-round detection of the resources. Finally, we set the resource detection criteria from multiple dimensions to detect the resources in an all-round way. The experimental results show that, after applying this method, the sports and medical emergency rescue gestures have a high matching degree and can effectively capture and evaluate the rescuer’s action execution, indicating that the teaching resources detected by this method can better assist the rescuer to improve the level of first-aid skills.