Measurement based on image processing on air resistance characteristics of skiing in wind tunnel experiment

Jin Song, Sheng Xu, Weiguo Zhang, Dong Li, Yu Lan, Bei Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to study the characteristics of air resistance experienced by skier, an experimental method has been developed in the wind tunnel. While measuring the air resistance of skier by balance, the windward projected area of skier is obtained by image acquisition and processing, and then the corresponding resistance coefficient is calculated. The skier simulated different postures in the wind tunnel and obtained the data of each posture. The experimental result shows that the air resistance and resistance coefficient decrease as the human body changes from standing to squatting, and the resistance characteristic of the half squatting is the most stable and the resistance coefficient is small. This method can provide reference and basis for guiding training.

Original languageEnglish
Title of host publicationProceedings - 2021 6th International Conference on Automation, Control and Robotics Engineering, CACRE 2021
EditorsFumin Zhang, Ying Zhao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-293
Number of pages4
ISBN (Electronic)9781665435765
DOIs
StatePublished - 2021
Externally publishedYes
Event6th International Conference on Automation, Control and Robotics Engineering, CACRE 2021 - Dalian, China
Duration: 15 Jul 202117 Jul 2021

Publication series

NameProceedings - 2021 6th International Conference on Automation, Control and Robotics Engineering, CACRE 2021

Conference

Conference6th International Conference on Automation, Control and Robotics Engineering, CACRE 2021
Country/TerritoryChina
CityDalian
Period15/07/2117/07/21

Keywords

  • Air resistance
  • Measurement
  • Skiing

Fingerprint

Dive into the research topics of 'Measurement based on image processing on air resistance characteristics of skiing in wind tunnel experiment'. Together they form a unique fingerprint.

Cite this