Academic Journal
A novel multivariate time series dataset of outdoor sport activities
| العنوان: | A novel multivariate time series dataset of outdoor sport activities |
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| المؤلفون: | Matarmaa Jarno |
| المصدر: | Discover Data, Vol 3, Iss 1, Pp 1-11 (2025) |
| بيانات النشر: | Springer, 2025. |
| سنة النشر: | 2025 |
| المجموعة: | LCC:Information technology LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Multivariate time series, Outdoor sport, Sport exercises, Sport dataset, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Abstract This study introduces a novel multivariate time series dataset of 228 outdoor sport activities recorded by individual non-competitive athlete in uncontrolled environments. The dataset includes three features: Heart Rate, Speed, and Altitude, and covers five sport categories: walking, running, skiing, roller-skiing, and biking. The data was collected using two types of Garmin sport watches. The original dataset was carefully pre-processed using typical data cleansing methods such as gaps filling, and value format transformations. Furthermore, activity filtering was implemented for missing sensor value data and using domain knowledge of sport categories. Full length sequences, varying from 10 min to several hours, were split into equal length segments, approximately 1 min. To address the small number of instances data was augmented using several consecutive segments from the same activity. However, only a small part of the whole original data was used as a computational cost–information gain tradeoff. Three-dimensional dataset is divided into three parts, each dimension to its own comma separated value (CSV) file. The dataset aims to provide a unique resource for researchers and practitioners in the field of sports science, human performance analysis, and activity recognition. It aims to complement the very limited or non-existent publicly available sport activity datasets. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2731-6955 |
| Relation: | https://doaj.org/toc/2731-6955 |
| DOI: | 10.1007/s44248-025-00019-5 |
| URL الوصول: | https://doaj.org/article/19e00bfc1dac456c82cf3830309e641e |
| رقم الانضمام: | edsdoj.19e00bfc1dac456c82cf3830309e641e |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 27316955 |
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| DOI: | 10.1007/s44248-025-00019-5 |