Gregor Koporec (Author), Goran Vučković (Author), Radoje Milić (Author), Janez Perš (Author)

Abstract

Measurement of energy expenditure is an important tool in sport science and medicine, especially when trying to estimate the extent and intensity of physical activity. However, most approaches still rely on sensors or markers, placed directly on the body. In this paper, we present a novel approach using a fully contact-less, fully automatic method, that relies on computer vision algorithms and widely available and inexpensive imaging sensors. We rely on the estimation of the optical and scene flow to calculate Histograms of Oriented Optical Flow (HOOF) descriptors, which we subsequently augment with the Histograms of Absolute Flow Amplitude (HAFA). Descriptors are fed into regression model, which allows us to estimate energy consumption, and to a lesser extent, the heart rate. Our method has been tested both in lab environment and in realistic conditions of a sport match. Results confirm that these energy expenditures could be derived from purely contact-less observations. The proposed method can be used with different modalities, including near infrared imagery, which extends its future potential.

Keywords

telesna aktivnost;energijska poraba;računalniški vid;optični tok;prostorski tok;physical activity;energy expenditure;computer vision;optical flow;scene flow;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FE - Faculty of Electrical Engineering
UDC: 004.8:796
COBISS: 12120148 Link will open in a new window
ISSN: 1424-8220
Views: 385
Downloads: 121
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: telesna aktivnost;energijska poraba;računalniški vid;optični tok;prostorski tok;
Type (COBISS): Article
Pages: str. 1-32
Volume: ǂiss. ǂ8
Issue: 4235
Chronology: Aug. 2018
DOI: 10.3390/s18082435
ID: 13181181