Data for study "Human Activity Recognition of Figure Skating Jumps Using Abdominal Electromyography and Accelerometry"

Basic information------------------------------------------------------------------ 1. Journal article: Human Activity Recognition of Figure Skating Jumps Using Abdominal Electromyography and Accelerometry 2. DOI: 10.5281/zenodo.22959973 3. Contact information: Name: Pavla Nikelova Institution: VSB – Technical University of Ostrava E-mail: [e-mail] ORCID: https://orcid.org/0009-0002-2832-005X 4. Dataset publication date: 2026-09-255. Place of publication: Ostrava, Czechia ------------------------------------------------------------------6. Dataset description------------------------------------------------------------------ This dataset contains the experimental results and source codes used for the preparation of the study “Human Activity Recognition of Figure Skating Jumps Using Abdominal Electromyography and Accelerometry”. It includes dataset and Python script for machine learning and plots used in manuscript. IMPORTANT: Do not modify the file locations within the folder structure. Folder Structure-------------------------------------------------------------------------------- figure_skating_HAR/│├── merged_dataset.csv Raw merged dataset containing EMG and accelerometer signals├── CNN.py 1D Convolutional Neural Network training and hyperparameter tuning├── GB.py Gradient Boosting Classifier hyperparameter tuning├── GB_sensor_importance.py Sensor ablation study and channel importance analysis using Gradient Boosting├── MLP.py Multilayer Perceptron (Neural Network) tuning and feature permutation├── RF.py Random Forest hyperparameter optimization and evaluation├── visualisation.py Raw data visualisation└── window_overlap_investigation_RF.py Grid search over window sizes and overlap/step sizes using Random Forest Funding: This work was supported by the European Regional Development Fund under the project Research Platform for Digital Transformation and Society 5.0 CZ.02.01.01/00/23_021/0012599 within the Jan Amos Komensky Operational Program. This article was supported by the Ministry of Education of the Czechia (Project No. SP2026/012).