1. Hassle Free Fitness Monitoring David Jea, Jason Liu, Thomas Schmid, Mani Srivastava

2. Pervasive Health Care Systems Fitness Monitoring is the most Fundamental Functionality of Pervasive Health Care Systems Provides 24X7 Fitness Monitoring Sensor devices are clipped on the body Proactively Record changes in vital signs such as weight and blood pressure Appropriate Medical Services provided on the basis of recorded data

3. Challenges PrivacySecurity Finding a perfect balance between usability, privacy and security

4. Problems Large number of Devices hooked on the body Multiple type of sensors Privacy concerns at workplaces

5. Security Issues Network Security Issues User authentication issues Security problems related to stolen palmtops or PDA’s

6. The Idea Build Fitness monitoring system for healthy individuals in a workplace Identification of the individual by only utilizing imprecise biometrics and existing information Maintaining the device’s original user interface No additional sensors incorporated in the system

7. Design Guidelines Privacy Recorded data cannot be used as hard evidence (in court) to pinpoint exactly who the user is Recorded data cannot be used as hard evidence (in court) to pinpoint exactly who the user isFeasibility The system is allowed to use existing information The system is allowed to use existing informationUsability Restoring the original interface of the device so that people of all age groups know how to use it Restoring the original interface of the device so that people of all age groups know how to use it

8. The Design Possible Candidates Activity Information Biometric Matcher Context Reasoning Imprecise Physiological Info Uncertainty Reduction User Identity

9. Implementation The system consists of a weight scale and a blood pressure monitor Both devices communicate with the laptop Software program installed on laptop continuously record data and attach a timestamp to weight and blood pressure readings Facility for a user to input his/her name is also provided This step is to establish ground truth for the experiment This step is to establish ground truth for the experiment

10. Inference Engine Components Biometric Matcher It implements a Bayes classifier that combines multiple sensor observations It implements a Bayes classifier that combines multiple sensor observations It assumes that each observation is unique It assumes that each observation is unique This results in the identity of the subject This results in the identity of the subject Context Reasoning It is based on Reified Temporal Logic It is based on Reified Temporal Logic It provides with the user’s context It provides with the user’s context It uses two meta-Predicates to express when things are true It uses two meta-Predicates to express when things are true

11. Analysis User Similarity in Physiological Information Seat in Lab Usage Habit Usage Habit Weight Scale BP Monitor Both ALightVV B They have similar weights. The differences in mean are less than 1.9 lbs VVV CVV DVV E Their Difference in average weights is 1.1 lbs VV FV G VV HVV IHeavyV

12. Results for one Physiological Information Physiological Data for Classifier Positive MatchFalse Match Weights57.23%45.77 Systolic Blood Pressure22.02%77.98 Diastolic Blood Pressure43.90%56.10% Heartbeat Rate25%75%

13. Results based on Multiple Sources Biometric matcher that combines all 4 physiological sources. Positive Match False Match Classification Results for partial or complete data points. 77.9%22.1% Classification Results for complete data points only. 87.3%12.7%

14. The accuracy of the context reasoning component Context Reasoning ComponentPositiveFalse Positive The presence of a user based on network activity 89.47%10.53%

15. Combining the biometric matcher with the context reasoning. Biometric Matcher onlyBiometric Matcher and Context Reasoning Accuracy78.16%83.80%

16. Conclusion Built a health monitoring system which is hassle free Less privacy concerns No extra sensors hooked on the body Easy to Use Widely used by population How to handle uncertain usage?