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Sensor Data Mining and Activity Recognition Using Cellphone Accelerometer

Project Description

This project uses cell phone accelerometers to perform activity recognition, a task which involves identifying the physical activity a user is performing which include walking, jogging (or running), sitting and standing.

Different data samples of accelerometer values of various activities thorugh multiple test cases was captured through an Android App which was studied and then used to design a heuristic which could recognize activitites. The Android app lets the user to upload the collected data sample onto a server machine which runs the program and provide results.

Technologies Used

  • An Android application which uses cellphone's tri axis accelerometer and records sensor data
  • R was used for studying data patterns as well as for designing the program to recognize activities
  • A Java based web server was created to send the captured data from the app directly to the processing side.

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Sensor Data Mining and Activity Recognition Using Cellphone Accelerometer

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