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

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

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.

• Jezik: Angleški jezik
• Ključne besede: physical activity, energy expenditure, computer vision, optical flow, scene flow, heart rate, support vector machine, RBF kernel, KCF tracker, Microsoft Kinect, time-of-flight sensor, squash
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko; FŠ - Fakulteta za šport
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Datum objave: 26.07.2018
• Leto izida: 2018
• Št. strani: 32 str.
• Številčenje: Vol. 18, iss. 8, art. 2435
• PID: 20.500.12556/RUL-128749
• UDK: 004.8:796
• ISSN pri članku: 1424-8220
• DOI: 10.3390/s18082435
• COBISS.SI-ID: 12120148
• Datum objave v RUL: 27.07.2021

Gradivo je del revije

• Naslov: Sensors
• Skrajšan naslov: Sensors
• Založnik: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 26.07.2018

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: telesna aktivnost, energijska poraba, računalniški vid, optični tok, prostorski tok