Just as the web browser brought us click-stream data and the mobile phone brought us geo-location data, ubiquitous low-cost bio-sensors integrated with wearable computing devices will bring us a new torrent of consumer bio-data to collect, analyze, and exploit.
The course takes a hands-on approach to exploring the possibilities and limitations of consumer-grade bio-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-data and the design and evaluation of applications that leverage bio-data. We will collect and analyze our own bio-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, bio-feedback, context-aware security, e-commerce, neuro-marketing, privacy by design, quantified self, sentiment analysis, and user interface technologies.
Come to our Project Showcase Exhibition: December 15 2014, 4-6pm, in South Hall Room 202 (directions)
News (March 2015): We are making a public release of synchronized brainwave recordings from our class.
The class acknowledges the generous support of the following sponsors:
|
|