Making sense of accelerometer measurements in pervasive physical activity applications-Reference-Cited by-同舟云学术

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Making sense of accelerometer measurements in pervasive physical activity applications

Published:2009-04-04 Issue: Volume: Page:
ISSN:
Container-title:CHI '09 Extended Abstracts on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Fujiki Yuichi¹,Tsiamyrtzis Panagiotis²,Pavlidis Ioannis¹

Affiliation:

1. University of Houston, Houston, TX, USA

2. Athens University of Economics and Business, Athens, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/1520340.1520497

Reference9 articles.

1. Antonnson E.K. Mann R.W. The frequency content of gait. Journal of biomechanics 18(1985) 39-47. Antonnson E.K. Mann R.W. The frequency content of gait. Journal of biomechanics 18(1985) 39-47.

2. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity

3. Activity sensing in the wild

4. NEAT-o-games

5. NEAT-o-Games

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1. Assessing the Transferability of Physical Activity Type Detection Models: Influence of Age Group Is Underappreciated;Frontiers in Physiology;2021-10-22

2. Smartphone‐based speed acquisition and differential evolution modelling for fitness running;The Journal of Engineering;2018-09-25

3. A novel way to conduct human studies and do some good;CHI '10 Extended Abstracts on Human Factors in Computing Systems;2010-04-10

4. iPhone as a physical activity measurement platform;CHI '10 Extended Abstracts on Human Factors in Computing Systems;2010-04-10

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