Just as the web browser brought us click-stream data and the mobile phone brought us geo-location data, ubiquitous low-cost sensors integrated with wearable and IoT devices will bring us a new torrent of user data to collect, analyze, and exploit. The course takes a hands-on approach to exploring the possibilities and limitations of consumer-grade sensing technologies for brainwave, heart rate, body movement, and other physiological and contextual data. We will survey the literature on the analysis and visualization of bio-sensory data and the design and evaluation of applications that leverage the data. We will collect and analyze our own data using a variety of devices. We will consider new business models and data stewardship issues, including data ownership and data privacy. Project work can be undertaken in a variety of application domains, such as affective computing, ambient assisted living, biometric authentication, home robotics, neuro-marketing, privacy by design, quantified self, and novel user interface technologies.
Project 2 Presentations on Dec 7 2015
Course Schedule and additional resources on BCourses
Meeting Time
Mondays and Fridays 3:30pm-5pm in 202 South Hall
Instructor
Teaching Assistant
Registration Information
CCN: 41623
Units: 3
Pre-requisite: INFO206 or equivalent
Tentative Grading Criteria
Assignments: 30%
Project 1: 30%
Project 2: 30%
Participation: 10%
Academic Integrity
The class acknowledges the generous support of the following partners:
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