Computational Methods for Estimating Energy Expenditure in Human Physical Activities

被引：62

作者：

Liu, Shaopeng

Gao, Robert X. ^{[1
]}

Freedson, Patty S. ^{[2
]}

机构：

[1] Univ Connecticut, Dept Mech Engn, Unit 3139, Storrs, CT 06269 USA

[2] Univ Massachusetts, Dept Kinesiol, Amherst, MA 01003 USA

来源：

MEDICINE AND SCIENCE IN SPORTS AND EXERCISE | 2012年 / 44卷 / 11期

基金：

美国国家卫生研究院;

关键词：

PHYSICAL ACTIVITY; ENERGY EXPENDITURE; BODY-WORN SENSORS; COMPUTATIONAL METHODOLOGY; ARTIFICIAL NEURAL-NETWORK; HEART-RATE; ACCELEROMETER OUTPUT; ACTIVITY MONITORS; MET VALUES; VALIDATION; VALIDITY; ARMBAND; CALIBRATION; CHILDREN;

D O I：

10.1249/MSS.0b013e31825e825a

中图分类号：

G8 [体育];

学科分类号：

04 ; 0403 ;

摘要：

LIU, S., R. X. GAO, and P. S. FREEDSON. Computational Methods for Estimating Energy Expenditure in Human Physical Activities. Med. Sci. Sports Exert., Vol. 44, No. 11, pp. 2138-2146, 2012. Accurate and reliable methods for assessing human physical activity (PA) energy expenditure (PAEE) are informative and essential for understanding individual behaviors and quantifying the effect of PA on disease, for PA surveillance, and for examining determinants of PA in different populations. This article reviews recent advances in the estimation of PAEE in three interrelated areas: 1) types of sensors worn by human subjects, 2) features extracted from the measured sensor signals, and 3) modeling techniques to estimate the PAEE using these features. The review illustrates three directions in the PAEE studies and provides recommendations for future research, with the aim to produce valid, reliable, and accurate assessment of PAEE from wearable sensors.

引用

收藏

页码：2138 / 2146

页数：9

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