Using multiple sensors, including a SenseCam camera, BodyMedia device, and heart rate monitor, the project aims to classify user activities and determine posture over time based on sensor data. The goals are to correctly identify posture, plot sensor graphs, and find differences in the graphs between activities using a classifier. Challenges include inputting sensor data and outputting the differences corresponding to various activities.

1. Using Multiple Sensors to Determine Posture Lu Juncheng (James) Mentor: Aiden Doherty Supervisor: Prof. Alan Smeaton

2. Introduction The problem of poor seated posture is increasing Classification of information from different activities Finding out what type of sensor and data is more important to this project than the others. The purpose of the project:

3. P roject Goals Determine the correct time to measure posture Plotting graphs from information Finding the difference graphs by using classifier Using multiple sensors to get information SenseCam BodyMedia Heart rate monitor

4. SenseCam SenseCam is a wearable camera. Automatically captures images 2,500 images/day Sensors: PIR (Passive Infra Red) Accelerometer (motion) Light Temperature (ambient)

5. Affective Sensors BodyMedia device Motion Heat flux Skin temperature Galvanic skin response Heart rate monitor Chest strap measures user’s heart rate Watch is receiver

6. Classifying User Activities

7. Research Challenges Input the information that is recorded from sensors Output the difference between data corresponding to different activities

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