ECE 191: Group 6 Wk3 Physical Activity Meter

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ECE 191 Group 6 Wk3 Physical Activity Meter

• Mentor Paul Blair, Ph.D
• Group
• Joshua Ramos
• Joseph Sabet
• Tommy Truong
• Sponsored by Calit2

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Agenda

• Gantt Chart
• Tasks performed
• Statement of Work
• Project Update
• Summary and Plans for next week

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Gantt Chart
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Tasks by Member

• All Working with Atmel board
• Joshua Ramos- Accelerometers for measurement of
  physical activity
• Joseph Sabet- Analysis of data in Matlab
• Tommy Truong- FAT file system

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Statement of Work

• Learn how to use the Atmel processors using
  tutorials and user manual
• Set up development board
• Program the microprocessor to acquire data from
  an accelerometer
• Test the prototype while doing different
  activities and logging data
• Analyze data in Matlab to find filters that can
  distinguish activities
• Program the microprocessor to distinguish
  activities and log data
• Data will consist of an activity type, time
  information, and either an activity level or some
  appropriate representation of the activity
• Store data to an external RAM.
• Allow data transmission between device and a
  computer via USB.
• Move final program to an Atmel AT90USBKEY from
  the development board
• Create a demo that allows user to perform some
  activity with the meter and then be able to
  appropriately measure the activity

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Accelerometers
Courtesy of acsm-msse.org
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Accelerometers
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FAT32 FILE SYSTEM
Courtesy of egloos.com
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FAT32 FILE SYSTEM
Courtesy of prjc.com
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FILTERING/THRESHOLDING

• load steps.txt
• x steps(,1)
• y steps(,2)
• z steps(,3)
• b1/4 1/4 1/4 1/4
• a1 0 0 0
• xf filter(b,a,x)

• num 0
• zf1 zeros
• for i 13010
• if abs(zf(i))gt450
• if abs(zf(i-1)) lt 450
• num num 1
• zf1(i) 1
• end
• end
• end

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PLOTS
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SUMMARY

• Programming with AVR Board
• Physical Activity Monitoring
• Movement Data Analysis
• FAT file system
• NEXT WEEK
• Continue analysis of data/create filters in
  Matlab
• Take more data from accelerometer to analyze
• Programming (accelerometer data, filters, FAT)