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Personal accelerometer data.
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GPS data will be cleaned, filtered and merged with accelerometer data using the Personal Activity Location Measurement System (PALMS, refer to: https://ucsd-palms-project.wikispaces.com).
In addition to the previously mentioned procedures, weekly accelerometer data were cleaned using the Personal Activity and Location Measurement System (University of California, San Diego, California, United States).
Required satellite specific information for tracking and accelerometer data processing.
The StudentLife dataset does not contain raw accelerometer data.
Outdoor activity can be measured using accelerometer data.
The lower graph shows the corresponding raw accelerometer data.
Since accelerometer networks are more dense than strong motion velocity meter networks, we use accelerometer data in this study.
This is necessary because pure accelerometer data is noisy and gyroscope data has a permanent drift.
To illustrate the privacy leakage problem associated with accelerometer data sharing, we illustrate a typical scenario of accelerometer data sharing as shown in Fig. 1.
The processing of Swarm accelerometer data has proven to be much more challenging than the processing of accelerometer data from other missions like CHAMP, GRACE, and GOCE.
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