Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

about

The effects of mothers' musical background on sedentary behavior, physical activity, and exercise adherence in their 5-6-years-old children using movement-to-music video program.Subjects with cardiovascular disease or high disease risk are more sedentary and less active than their healthy peers.

P2860

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P2860

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

Item

http://www.wikidata.org/entity/Q47586443

description

2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

@wuu

2017年学术文章

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2017年学术文章

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2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

@en

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

@nl

type

Item

label

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

@en

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

@nl

prefLabel

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

@en

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

@nl

P1476

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer

@en

P2093

J Suni

http://www.w3.org/2001/XMLSchema#string

T Vasankari

http://www.w3.org/2001/XMLSchema#string

P2860

Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy

Sedentary behaviour and cardiovascular disease: a review of prospective studies.

A universal, accurate intensity-based classification of different physical activities using raw data of accelerometer.

Mean amplitude deviation calculated from raw acceleration data: a novel method for classifying the intensity of adolescents' physical activity irrespective of accelerometer brand.

Intensity Thresholds on Raw Acceleration Data: Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD) Approaches.

Posture and movement classification: the comparison of tri-axial accelerometer numbers and anatomical placement.

Dealing with the effects of sensor displacement in wearable activity recognition

Which activity monitor to use? Validity, reproducibility and user friendliness of three activity monitors.

Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity.

Definition, measurement, and health risks associated with sedentary behavior.

P304

1092-1102

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1111/SMS.13017

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Pauliina Husu

Harri Sievänen

Henri Vähä-Ypyä

P577

2017-12-13T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29144567

http://www.w3.org/2001/XMLSchema#string

P921

accelerometer

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

about

P2860

P2860

Reliable recognition of lying, sitting, and standing with a hip-worn accelerometer.

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P921