Classification and visualization of skateboard tricks using wearable sensors-Reference-Cited by-同舟云学术

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Classification and visualization of skateboard tricks using wearable sensors

Published:2017-09 Issue: Volume:40 Page:42-55
ISSN:1574-1192
Container-title:Pervasive and Mobile Computing
language:en
Short-container-title:Pervasive and Mobile Computing

Author:

Groh Benjamin H.,Fleckenstein Martin,Kautz Thomas,Eskofier Bjoern M.

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference30 articles.

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2. An IMU-based mobile system for golf putt analysis;Jensen;Sports Eng.,2015

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4. Inertial sensor technology for elite swimming performance analysis: A systematic review;Mooney;Sensors,2016

5. Technology and half-pipe snowboard competition – insight from elite-level judges (p240);Harding,2008

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1. Skating into the Unknown: Scoping the Physical, Technical, and Tactical Demands of Competitive Skateboarding;Sports Medicine;2024-05-14

2. Optimal Activity Recognition Framework Based on Improvement of Regularized Neighborhood Component Analysis (RNCA);IEEE Access;2024

3. Motion Based Trick Classification in Skateboarding Using Machine Learning;2023 World Symposium on Digital Intelligence for Systems and Machines (DISA);2023-09-21

4. Poster - Noiseboard Project: Using Sensors and Long-Range Wireless Communication For Musical Augmentation of Skateboarding;Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter;2023-09-20

5. Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping Review;Applied Sciences;2023-07-27

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