TEMPERATURE DATA GLOVE
Wearable Interfaces for Cognitive Augmentation
Category: Embodied Interfaces & Responsive Environments
Year: 2019 | NASA Colorado Space Grant, 1st Place
Wearable prototype providing distant object temperature data via infrared sensors with multimodal feedback (color-coded LEDs + haptic vibration). Designed for astronauts, firefighters, welders—high-risk environments requiring immediate temperature assessment.
Problem: Workers need instant, hands-free temperature data without interrupting workflow. Traditional handheld IR thermometers break task focus.
Technical Implementation:
IR sensors on glove fingertips for natural pointing gesture
Color-coded LEDs: blue (safe) → green → yellow → orange → red (danger)
Haptic feedback: vibration intensity scales with temperature danger
40% reduction in decision time vs. handheld thermometer, 95% accuracy
My Role: Lead developer—90% of code, all sensor integration, system architecture, rapid refactoring when team changed sensors week before presentation.
Contribution to RNI Research: Early exploration of wearable sensors + multimodal feedback for just-in-time cognitive support. Temperature glove principles apply to RAI: provide critical information without adding cognitive burden during high-stakes moments.
Technologies: Arduino, C/C++, IR sensors, LEDs, vibration motors