STATISTICAL ANALYSIS OF SPORT MOVEMENT OBSERVATIONS: THE CASE OF ORIENTEERING
| Autor: | Farid Karimipour, K. Amouzandeh |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
lcsh:Applied optics. Photonics
lcsh:T Movement (music) Spatial movement 0211 other engineering and technologies lcsh:TA1501-1820 Orienteering 030229 sport sciences 02 engineering and technology lcsh:Technology 03 medical and health sciences 0302 clinical medicine Geography lcsh:TA1-2040 Spatial ecology Statistical analysis lcsh:Engineering (General). Civil engineering (General) Cartography 021101 geological & geomatics engineering |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W4, Pp 311-317 (2017) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprs-archives-xlii-4-w4-311-2017 |
| Popis: | Study of movement observations is becoming more popular in several applications. Particularly, analyzing sport movement time series has been considered as a demanding area. However, most of the attempts made on analyzing movement sport data have focused on spatial aspects of movement to extract some movement characteristics, such as spatial patterns and similarities. This paper proposes statistical analysis of sport movement observations, which refers to analyzing changes in the spatial movement attributes (e.g. distance, altitude and slope) and non-spatial movement attributes (e.g. speed and heart rate) of athletes. As the case study, an example dataset of movement observations acquired during the “orienteering” sport is presented and statistically analyzed. |
| Databáze: | OpenAIRE |
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