Quantitative contact-less estimation of energy expenditure from video and 3D imagery

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

Povzetek

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.

Ključne besede

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

Podatki

Jezik:	Angleški jezik
Leto izida:	2018
Tipologija:	1.01 - Izvirni znanstveni članek
Organizacija:	UL FE - Fakulteta za elektrotehniko
UDK:	004.8:796
COBISS:	12120148
ISSN:	1424-8220
Št. ogledov:	385
Št. prenosov:	121
Ocena:	0 (0 glasov)
Metapodatki:

Ostali podatki

Sekundarni jezik:	Slovenski jezik
Sekundarne ključne besede:	telesna aktivnost;energijska poraba;računalniški vid;optični tok;prostorski tok;
Vrsta dela (COBISS):	Članek v reviji
Strani:	str. 1-32
Letnik:	ǂiss. ǂ8
Zvezek:	4235
Čas izdaje:	Aug. 2018
DOI:	10.3390/s18082435
ID:	13181181