Data Tools - RunScribe

Data Analysis Tools

Over the years, we have developed a number of tools, many in [R]/Shiny that we use to analyze everything from RawData to our FootSteps Model.

Below are a few of the tools we’ve built to explore these datasets.

RunScribe Data Tool Support

Per-Step Metrics - CSV Export

Click here for CSV Export Instructions …

Raw Data Collection - Configuration

You can request RawData access by emailing support@runscribe.com – letting me know what email address is associated with your account along with your intended use. Once RawData has been enabled for your account, you’ll need to enable it via the RS mobile app.

RawData is collected at 500Hz, resulting in file sizes that are far beyond what is typical for the consumer metrics. On-board flash memory will typically fill within 20min, and uploads can take upwards of an hour for ever 10min of collection.

Raw Data Download - FIT Files

Raw Data Conversion - FIT to CSV

Raw Data - Scaling Factors

Once you’ve downloaded the RawData in CSV format, you’ll need to do a little scaling:

# Time in msec
Motion.Time <<- as.numeric(CSV_MotionData[,5]) / 4.0

Motion.Accel.X <<- as.numeric(CSV_MotionData[,8]) / (256*8.0) ;
Motion.Accel.Y <<- as.numeric(CSV_MotionData[,11]) / (256*8.0) ;
Motion.Accel.Z <<- as.numeric(CSV_MotionData[,14]) / (256*8.0) ;

Motion.Gyro.X <<- as.numeric(CSV_MotionData[,17]) / 16.384;
Motion.Gyro.Y <<- as.numeric(CSV_MotionData[,20]) / 16.384;
Motion.Gyro.Z <<- as.numeric(CSV_MotionData[,23]) / 16.384;

Motion.Mag.X <<- as.numeric(CSV_MotionData[,26]) / 32;
Motion.Mag.Y <<- as.numeric(CSV_MotionData[,29]) / 32;
Motion.Mag.Z <<- as.numeric(CSV_MotionData[,32]) / 32;

Motion.Quat.Q0 <<- as.numeric(CSV_MotionData[,35]) / 16384.0 ;
Motion.Quat.Q1 <<- as.numeric(CSV_MotionData[,38]) / 16384.0 ;
Motion.Quat.Q2 <<- as.numeric(CSV_MotionData[,41]) / 16384.0 ;
Motion.Quat.Q3 <<- as.numeric(CSV_MotionData[,44]) / 16384.0 ;