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Capturing and predicting human behavior using wearable sensors

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Presentation on theme: "Capturing and predicting human behavior using wearable sensors"— Presentation transcript:

1 Capturing and predicting human behavior using wearable sensors
Julian Wolfson Associate Professor, Division of Biostatistics z.umn.edu/julianw @DrJWolfson JSM Vancouver ::: July 29, 2018

2 Big questions in health behavior
How do we: Characterize activity patterns associated with health outcomes? Identify optimal times to deliver behavioral interventions? Enhance the provider-patient discussion around habits and behaviors? JSM Vancouver ::: July 29, 2018

3 The sensor revolution Explosion in:
Personal monitoring devices: Fitbit, ActivPal, etc. Sensors built into smartphones Smartphones are ubiquitous in many contexts (even, increasingly, the developing world) and frequently incorporate: GPS, Accelerometer, Gyroscope, Magnetometer, Proximity sensor, Light sensor, Barometer, Thermometer/humidity sensor JSM Vancouver ::: July 29, 2018

4 Daynamica JSM Vancouver ::: July 29, 2018

5 Daynamica JSM Vancouver ::: July 29, 2018

6 Daynamica 5 years of work… JSM Vancouver ::: July 29, 2018

7 Other personal business
Capturing activities Other personal business JSM Vancouver ::: July 29, 2018

8 Other personal business
Capturing activities Other personal business JSM Vancouver ::: July 29, 2018

9 Other personal business
Capturing activities Other personal business JSM Vancouver ::: July 29, 2018

10 Understanding disparities
JSM Vancouver ::: July 29, 2018

11 Understanding disparities
JSM Vancouver ::: July 29, 2018

12 Encouraging behavior change
JSM Vancouver ::: July 29, 2018

13 Potential future applications
Behavior summaries to inform patient-provider discussions Connections to other monitoring devices Glucose monitor Heart rate/BP monitors Personal air quality sensors JSM Vancouver ::: July 29, 2018

14 New methodology needed!
Leveraging population-level information to make individual predictions Characterizing and clustering of longitudinal behavioral patterns Detecting behavioral changepoints Aggregating data over structured networks (e.g., roads) JSM Vancouver ::: July 29, 2018

15 Discussion points How do we support implementation-focused collaborations for junior methodologists? Clinical trial model? Data privacy: Can we overcome the “creepy factor”? Commercialization: Crucial activity or needless distraction? JSM Vancouver ::: July 29, 2018

16 Disclosure Dr. Julian Wolfson is co-founder and Chief Technology Officer of Daynamica, Inc. He and the University of Minnesota hold equity and royalty interests in Daynamica pursuant to the exclusive license agreement involving the software program that provides smartphone solutions for travel and activity capturing. These interests have been reviewed and managed by the University of Minnesota in accordance with its Conflict of Interest policies. z.umn.edu/julianw daynamica.com JSM Vancouver ::: July 29, 2018


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