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Literature DB >> 22255127

Design of a wearable physical activity monitoring system using mobile phones and accelerometers.

Stephen S Intille¹, Fahd Albinali, Selene Mota, Benjamin Kuris, Pilar Botana, William L Haskell.

Abstract

This paper describes the motivation for, and overarching design of, an open-source hardware and software system to enable population-scale, longitudinal measurement of physical activity and sedentary behavior using common mobile phones. The "Wockets" data collection system permits researchers to collect raw motion data from participants who wear multiple small, comfortable sensors for 24 hours per day, including during sleep, and monitor data collection remotely.

Entities: Chemical Disease Gene Species

Mesh：

Year: 2011 PMID： 22255127 PMCID： PMC6167937 DOI： 10.1109/IEMBS.2011.6090611

Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X

4 in total

1. Measurement of human daily physical activity.

Authors: Kuan Zhang; Patricia Werner; Ming Sun; F Xavier Pi-Sunyer; Carol N Boozer
Journal: Obes Res Date: 2003-01

2. An artificial neural network model of energy expenditure using nonintegrated acceleration signals.

Authors: Megan P Rothney; Megan Neumann; Ashley Béziat; Kong Y Chen
Journal: J Appl Physiol (1985) Date: 2007-07-19

3. Detection of type, duration, and intensity of physical activity using an accelerometer.

Authors: Alberto G Bonomi; Annelies H C Goris; Bin Yin; Klaas R Westerterp
Journal: Med Sci Sports Exerc Date: 2009-09 Impact factor: 5.411

4. Using Wearable Activity Type Detection to Improve Physical Activity Energy Expenditure Estimation.

Authors: Fahd Albinali; Stephen S Intille; William Haskell; Mary Rosenberger
Journal: Proc ACM Int Conf Ubiquitous Comput Date: 2010-09

4 in total

14 in total

Review 1. Stimulating innovations in the measurement of parenting constructs.

Authors: Louise C Mâsse; Allison W Watts
Journal: Child Obes Date: 2013-08 Impact factor: 2.992

2. Household chaos and sleep-disturbing behavior of family members: results of a pilot study of African American early adolescents.

Authors: James C Spilsbury; Sanjay R Patel; Nathan Morris; Aida Ehayaei; Stephen S Intille
Journal: Sleep Health Date: 2017-01-22

Design of a wearable physical activity monitoring system using mobile phones and accelerometers.

1. Measurement of human daily physical activity.

2. An artificial neural network model of energy expenditure using nonintegrated acceleration signals.

3. Detection of type, duration, and intensity of physical activity using an accelerometer.

4. Using Wearable Activity Type Detection to Improve Physical Activity Energy Expenditure Estimation.

Review 1. Stimulating innovations in the measurement of parenting constructs.

2. Household chaos and sleep-disturbing behavior of family members: results of a pilot study of African American early adolescents.

3. Activity Recognition in Youth Using Single Accelerometer Placed at Wrist or Ankle.

4. Early Detection of Physical Activity for People With Type 1 Diabetes Mellitus.

5. Estimating activity and sedentary behavior from an accelerometer on the hip or wrist.

6. A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior.

7. Accelerometry-based Recognition of the Placement Sites of a Wearable Sensor.

8. Activity recognition using a single accelerometer placed at the wrist or ankle.

Review 9. Innovations in the Use of Interactive Technology to Support Weight Management.

Review 10. Measuring and influencing physical activity with smartphone technology: a systematic review.