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University of Idaho

Since 1889, the University of Idaho has provided motivated students with a transformative higher education experience that prepares them to solve real-world problems and achieve success in their lives and careers.

Learn more at https://www.uidaho.edu

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Activity Recognition Model: Sensor (AS), GNSS, Time and Motion Study (TM), and Individual Tree Data

The provided data are the raw sensor data gathered from the Google Pixel smartphones used during the field sampling for the development of the activity recognition models. Additionally, corresponding GNSS locations and observed cycle elements from time and motion study are included and are all matched by time stamps. Data is provided based on the sampling rates used for the study (10, 20, 50Hz) These data are labeled (AS_TM_GNSS_"date collected"_"sampling rate in Hz"). Individual tree records derived from the lidar acquisition are also included for the study area. These data are labeled (Unit_#_Trees). The R code provided gives foundational R-code for random forest model training and final models for all windows (1, 5, 7.5, and 10 seconds) for each of the sampling rates (10, 20, and 50Hz) for natively sampled and downsampled (ds) data.

Data and Resources

FieldValue
Modified
2022-01-04
Release Date
2022-01-03
Publisher
Identifier
bf03ad36-2c14-4b5e-b5a8-d1a33a803278
Spatial / Geographical Coverage Area
POLYGON ((-116.849 46.838, -116.849 46.847, -116.739 46.847, -116.739 46.838))
Spatial / Geographical Coverage Location
north central Idaho, USA
Temporal Coverage
Saturday, August 10, 2019 - 00:00 to Friday, September 27, 2019 - 00:00
Language
English (United States)
License
Author
Ryer M. Becker & Robert F. Keefe
Contact Name
Ryer M. Becker
Contact Email
Public Access Level
Public
DOI
10.7923/1vqa-m812
Data available on:: 
Monday, January 3, 2022