Optically Non-Contact Cross-Country Skiing Action Recognition Based on Key-Point Collaborative Estimation and Motion Feature Extraction
Author:
Affiliation:
1. Science and Technology on Electromechanical Dynamic Control Laboratory, Beijing Institute of Technology, Beijing 100081, China
2. School of Mechatronic and Electrical Engineering, North University of China, Taiyuan 030051, China
Abstract
Funder
National Key R&D Program of China
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
https://www.mdpi.com/1424-8220/23/7/3639/pdf
Reference60 articles.
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3. Ruiz-García, I., Navarro-Marchal, I., Ocaña-Wilhelmi, J., Palma, A.J., Gómez-López, P.J., and Carvajal, M.A. (2021). Development and Evaluation of a Low-Drift Inertial Sensor-Based System for Analysis of Alpine Skiing Performance. Sensors, 21.
4. Human Movement Monitoring and Behavior Recognition for Intelligent Sports Using Customizable and Flexible Triboelectric Nanogenerator;Yang;Sci. China Technol. Sci.,2022
5. Fasel, B., Spörri, J., Gilgien, M., Boffi, G., Chardonnens, J., Müller, E., and Aminian, K. (2016). Three-Dimensional Body and Centre of Mass Kinematics in Alpine Ski Racing Using Differential GNSS and Inertial Sensors. Remote Sens., 8.
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