Info 290T

Biosensory Computing

(Fall 2023)

Project Gallery

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An Exploration of Biological Response to Anthropomorphized Stimuli Using Gaze-Tracking and EDA Biofeedback
Using biofeedback to measure 'attention' given to anthropomorphized stimuli.
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An Exploration of the Aesthetic Experience of Thought: Utilizing Biosensory Data to Visualize Cognitive Processes of Performance
A multi-media installation utilizing TouchDesigner and projection mapping to abstractly visualize the biological experience of how different parts of the brain...
Black and white photograph of Cornell crew loading their oars into a racing shell. Cornflower and navy blue heart rate curves are overlaid on the image.
Apple of My Oar: Rowing Heart Rate Monitor Comparison
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Classifying Actions from EEG Signals
Classifying Actions from EEG Signals
Photo by Jeshoots.com
Comparing Physiological and Psychological Responses of Playing Roblox in Mobile and Virtual Reality Environments
Exploring VR's impact on gaming: Roblox's transition from flat screens to VR, investigating physiological and psychological responses.
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Descriptive Analysis of Daytime Physiological and Psychological Metrics Influencing Sleep Quality
The study delves into how daytime physiological and psychological factors, based on the extensive MMASH dataset, affect sleep quality, highlighting sleep's...
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Exploring the Effect of Music Written in Different Languages on Individuals’ Concentration Level: Insights from EEG Data Analysis
This project studies the impact of music written in diverse languages on individuals’ EEG patterns when they perform tasks that demand concentration.
Power Spectral Density % of Actual and Imagined Right vs. Left Hand Movement of the average across all trials.
Open BCI Motor Imagery
Investigate EEG data to provide evidence for the potential control of a 3D avatar/vehicle with brain signals and imagined movements.
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RunSync: Music Meets Running Training
Unlock the power of biometrics for your run! Our project transforms heart rate and other bio signals from wearables into personalized music recommendations,...