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

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AI-Assisted Learning Wearable Interface Design: Supporting Teachers in Complex Environments