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Graduates
Gavin Zeng
BS in Interaction Design — Interaction DesignCourse:
IXD-256-01 Adv Interactive Prototyping
Faculty:
Pashenkov, Nikita
Term:
2025 Spring
FireSight
Smart Fire Mask is a wearable system designed to support navigation and situational awareness in fire emergencies. By integrating environmental sensing, real-time data processing, and on-device feedback, the system helps users identify safer paths and respond to hazardous conditions under limited visibility and time pressure.
The mask combines thermal imaging, air quality sensing, and motion detection to translate complex environmental data into immediate and actionable guidance through visual indicators and a connected interface.
Process:
Smart Fire Mask is a wearable system designed to support navigation and situational awareness in fire emergencies. By integrating environmental sensing, real-time data processing, and on-device feedback, the system helps users identify safer paths and respond to hazardous conditions under limited visibility and time pressure.
The mask combines thermal imaging, air quality sensing, and motion detection to translate complex environmental data into immediate and actionable guidance through visual indicators and a connected interface.
Learning Outcomes:
Through this project, I gained hands-on experience designing and prototyping real-time embedded systems that bridge physical sensing and digital interfaces. I developed a deeper understanding of how to translate raw sensor data into meaningful and actionable feedback for users operating under stress and uncertainty.
The project also strengthened my ability to design for safety-critical contexts, where clarity, latency, and reliability are essential. Additionally, it expanded my technical workflow across hardware integration, data communication, and multi-device interaction.
Project Website: