This work is in submission. At the time of publication, this site will be updated with additional code/documentation. Before publication, the codes are subject to refactoring. Please create github issues if you have any question related to the package.
MIMS-unit is abbreviated for Monitor Independent Movement Summary unit. This measurement is developed to harmonize the processing of accelerometer data from different devices. You may refer to the in publishing manuscript for the detail description of the algorithm. If you would like to get access to the manuscript, please contact Qu Tang or Dinesh John.
The copyright of the work belongs to Northeastern University, mHealth Research Group. Please kindly cite the manuscript if you have used the package in your work.
D. John, Q. Tang, F. Albinali, and S.S. Intille. 2018. A monitor-independent movement summary to harmonize accelerometer data processing. Journal of Measuring Physical Behaviors. Status: Submitted.
Rtools 3.5 (see: https://cran.r-project.org/bin/windows/Rtools/)
Note: It is recommended to use Rstudio when installing the package, because
devtools has some compatible issues with R command line interface.
Assume the input dataframe is in following format, with the first column (timestamp) in
POSXlct objects and the device used to collect this data has dynamic range being -3g to 3g. You may set the epoch length to be
10 sec and so on.
HEADER_TIME_STAMP,X,Y,Z 2016-10-03 14:51:14.236,0.007,-0.005,0.984 2016-10-03 14:51:14.256,0.008,-0.007,0.981 2016-10-03 14:51:14.276,0.009,-0.006,0.978 2016-10-03 14:51:14.297,0.009,-0.007,0.984 2016-10-03 14:51:14.317,0.010,-0.010,0.982 2016-10-03 14:51:14.337,0.011,-0.010,0.982