Leeann Mangoba: Analyzing Physical Activity with the iPod Accelerometer
| Attachment | Size |
|---|---|
 mangoba_surfit10_poster.pdf | 2.12 MB |
| mangoba_surfit10_report.pdf | 1.01 MB |
Analyzing Physical Activity with the iPod Accelerometer
Leanna Mangoba, Sonia Atteaga, Sri Kurniawan
University of California, Santa Cruz
During the summer of 2010, Leeann worked in the assistive technology/HCI lab under the guidance of professor Sri Kurniawan and graduate student Sonia Arteaga. Leeann’s project focused on analyzing the characteristics of the iPod Touch’s built-in accelerometer as a practical measurement of physical activity. Accelerometer-based mobile applications are on the rise and can be used as a way to motivate youth to become more physically active. Four students were recruited to wear the iPod inside their pants pocket while walking and running. The acceleration data was collected on an application at various sample rates.
Leeann used Xcode and Matlab to import and analyze the data with various filters and frequencies. Though walking acceleration measurements seemed to be accurate, the limitations of the iPod’s accelerometer are apparent in the data from the running sessions. This is because the accelerometer can only sense up to 2.3g. Future work will consist of collecting and analyzing other physical activities and using these methods for physical activity recognition on mobile applications. Leeann is a student at UC Santa Cruz majoring in electrical engineering and will be entering her fourth year this fall.
