Using Multiple Sensors to Determine Posture  <ul><li>Lu Juncheng (James) </li></ul><ul><li>Mentor:  Aiden Doherty </li></u...
Introduction <ul><li>The problem of poor seated posture is increasing </li></ul><ul><li>Classification of information from...
P roject Goals <ul><li>Determine the correct time to measure posture </li></ul><ul><ul><ul><li>Plotting graphs from inform...
SenseCam <ul><li>SenseCam is a wearable camera. </li></ul><ul><ul><ul><li>Automatically captures images </li></ul></ul></u...
Affective Sensors <ul><li>BodyMedia device </li></ul><ul><ul><ul><li>Motion </li></ul></ul></ul><ul><ul><ul><li>Heat flux ...
Classifying User Activities
Research Challenges <ul><li>Input the information that is recorded from sensors </li></ul><ul><li>Output the difference be...
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Using Multiple Sensors to Determine Posture (midterm)

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Using Multiple Sensors to Determine Posture (midterm)

  1. 1. Using Multiple Sensors to Determine Posture <ul><li>Lu Juncheng (James) </li></ul><ul><li>Mentor: Aiden Doherty </li></ul><ul><li>Supervisor: Prof. Alan Smeaton </li></ul>
  2. 2. Introduction <ul><li>The problem of poor seated posture is increasing </li></ul><ul><li>Classification of information from different activities </li></ul><ul><li>Finding out what type of sensor and data is more important to this project than the others. </li></ul>The purpose of the project:
  3. 3. P roject Goals <ul><li>Determine the correct time to measure posture </li></ul><ul><ul><ul><li>Plotting graphs from information </li></ul></ul></ul><ul><ul><ul><li>Finding the difference graphs by using classifier </li></ul></ul></ul><ul><li>Using multiple sensors to get information </li></ul><ul><ul><ul><li>SenseCam </li></ul></ul></ul><ul><ul><ul><li>BodyMedia </li></ul></ul></ul><ul><ul><ul><li>Heart rate monitor </li></ul></ul></ul>
  4. 4. SenseCam <ul><li>SenseCam is a wearable camera. </li></ul><ul><ul><ul><li>Automatically captures images </li></ul></ul></ul><ul><ul><ul><li>2,500 images/day </li></ul></ul></ul><ul><ul><ul><li>Sensors: </li></ul></ul></ul><ul><ul><ul><ul><ul><li>PIR (Passive Infra Red) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Accelerometer (motion) </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Light </li></ul></ul></ul></ul></ul><ul><ul><ul><ul><ul><li>Temperature (ambient) </li></ul></ul></ul></ul></ul>
  5. 5. Affective Sensors <ul><li>BodyMedia device </li></ul><ul><ul><ul><li>Motion </li></ul></ul></ul><ul><ul><ul><li>Heat flux </li></ul></ul></ul><ul><ul><ul><li>Skin temperature </li></ul></ul></ul><ul><ul><ul><li>Galvanic skin response </li></ul></ul></ul><ul><li>Heart rate monitor </li></ul><ul><ul><ul><li>Chest strap measures user’s heart rate </li></ul></ul></ul><ul><ul><ul><li>Watch is receiver </li></ul></ul></ul>
  6. 6. Classifying User Activities
  7. 7. Research Challenges <ul><li>Input the information that is recorded from sensors </li></ul><ul><li>Output the difference between data corresponding to different activities </li></ul>
  8. 8. Figures
  9. 9. Figures
  10. 10. Figures
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