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4 Results Found

  • Article
  • Open Access
10 Citations
4,436 Views
20 Pages
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Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data

  • Emily J. Huang,
  • Kebin Yan and
  • Jukka-Pekka Onnela
Sensors2022, 22(7), 2618;https://doi.org/10.3390/s22072618

29 March 2022

Physical activity patterns can reveal information about one’s health status. Built-in sensors in a smartphone, in comparison to a patient’s self-report, can collect activity recognition data more objectively, unobtrusively, and continuous...

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  • Article
  • Open Access
14 Citations
4,959 Views
18 Pages
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Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data

  • Emily J. Huang and
  • Jukka-Pekka Onnela
Sensors2020, 20(13), 3706;https://doi.org/10.3390/s20133706

2 July 2020

Physical activity, such as walking and ascending stairs, is commonly used in biomedical settings as an outcome or covariate. Researchers have traditionally relied on surveys to quantify activity levels of subjects in both research and clinical settin...

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  • Article
  • Open Access
55 Citations
5,909 Views
20 Pages
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Methods for Real-Time Prediction of the Mode of Travel Using Smartphone-Based GPS and Accelerometer Data

  • Bryan D. Martin,
  • Vittorio Addona,
  • Julian Wolfson,
  • Gediminas Adomavicius and
  • Yingling Fan
Sensors2017, 17(9), 2058;https://doi.org/10.3390/s17092058

8 September 2017

We propose and compare combinations of several methods for classifying transportation activity data from smartphone GPS and accelerometer sensors. We have two main objectives. First, we aim to classify our data as accurately as possible. Second, we a...

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