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YouTube

Harvesting and Making Sense of Mobile and Wearables Data - Challenges and Opportunities

Alan Turing Institute via YouTube

Overview

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Explore the challenges and opportunities in harvesting and analyzing mobile and wearable device data in this 25-minute conference talk by Professor Cecilia Mascolo. Delve into the complexities of efficient data collection while preserving user privacy, and learn about the potential applications in mobile health and urban computing. Discover how bringing logic and learning closer to the user can enhance data collection processes. Gain insights into making sense of noisy data gathered from powerful and inexpensive sensing technologies. Examine real-world examples of measuring human behavior, analyzing city functions, and transforming workplaces through mobile and wearable data. Consider the ethical implications of data trust and privacy, as highlighted by cases like fitness app data exposing sensitive locations. Compare GPU and cloud offloading techniques for processing large-scale mobile and wearable datasets.

Syllabus

Intro
Measuring Human Behaviour
Measuring How Cities Function
Venue Temporal Profile
London Growth 2011-14
Route Sensing
Transforming The Workplace
Office Analytics
Early Alzheimer's Disease Diagnostics
Happiness and Accelerometer
The Big Bang Theory S10E14
Can we trust the data?
Fitness app Strava lights up staff at military bases
GPU vs Cloud Offloading

Taught by

Alan Turing Institute

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