A Smart Ski Pole for Skiing Pattern Recognition and Quantification Application.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
15 Aug 2024
Historique:
received: 13 06 2024
revised: 03 08 2024
accepted: 14 08 2024
medline: 1 9 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: epublish

Résumé

In cross-country skiing, ski poles play a crucial role in technique, propulsion, and overall performance. The kinematic parameters of ski poles can provide valuable information about the skier's technique, which is of great significance for coaches and athletes seeking to improve their skiing performance. In this work, a new smart ski pole is proposed, which combines the uniaxial load cell and the inertial measurement unit (IMU), aiming to provide comprehensive data measurement functions more easily and to play an auxiliary role in training. The ski pole can collect data directly related to skiing technical actions, such as the skier's pole force, pole angle, inertia data, etc., and the system's design, based on wireless transmission, makes the system more convenient to provide comprehensive data acquisition functions, in order to achieve a more simple and efficient use experience. In this experiment, the characteristic data obtained from the ski poles during the Double Poling of three skiers were extracted and the sample

Identifiants

pubmed: 39204983
pii: s24165291
doi: 10.3390/s24165291
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : the National Natural Science Foundation of China
ID : 62171414, U2341210,52175554, 52205608
Organisme : the Fundamental Research Program of Shanxi Province
ID : 20210302123059, 20210302124610
Organisme : the Graduate Student Innovation Project of Shanxi Province
ID : 2023KY611

Auteurs

Yangyanhao Guo (Y)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Renjie Ju (R)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Kunru Li (K)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Zhiqiang Lan (Z)

School of Future Science and Engineering, Soochow University, Suzhou 215299, China.

Lixin Niu (L)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Xiaojuan Hou (X)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Shuo Qian (S)

School of Software, North University of China, Taiyuan 030051, China.

Wei Chen (W)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Xinyu Liu (X)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Gang Li (G)

School of Physical Education, Tianjin University of Sport, Tianjin 301600, China.

Jian He (J)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

Xiujian Chou (X)

Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North University of China, Taiyuan 030051, China.

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Classifications MeSH