Biosensing Project Presentations
The spread of low-cost biosensors integrated with wearable computing devices promises a new torrent of consumer bio-data to collect, analyze, and exploit.
The course Info 290. Sensors, Humans, Data, Apps 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.
Student projects come from 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.
Join us for the final presentation of students’s projects.
Interaction between Eye-tracking and EMG Gesture Control
Physiological and EEG Correlates of Chills
Emotional pattern recognition from electrocardiogram signals
Meta-Analysis of Activity Classification Algorithms