Septic safe interactions with smart glasses in health care

Area of Science:

• Human-Computer Interaction
• Wearable Technology
• Medical Informatics

Background:

• Smart glasses offer potential in healthcare but require safe and intuitive interaction methods.
• Existing interaction techniques may not be suitable for sterile or sensitive healthcare environments.
• The eGlasses project aims to develop an open platform for smart glasses applications.

Purpose of the Study:

• To present septic-safe interaction methods for smart glasses in healthcare settings.
• To evaluate the capabilities of optical proximity-based gesture sensors and eye-tracker input systems for smart glasses.
• To adapt these interfaces for the eGlasses open smart glasses platform.

Main Methods:

• Designing and adapting optical proximity-based gesture recognition and eye-tracker interfaces.
• Integrating these interfaces with the eGlasses open smart glasses platform.
• Conducting experiments to assess the performance of gesture recognition and eye-tracking interactions.

Main Results:

• Preliminary results indicate promising recognition of static and dynamic hand gestures using the proximity sensor.
• Experiments demonstrate the feasibility of interacting with a simple graphical user interface via the eye-tracker and near-to-eye display.
• The developed interfaces show potential for effective use within a healthcare context.

Conclusions:

• Optical proximity sensors and eye-tracking are viable input methods for smart glasses in healthcare.
• Collaborative interfaces enhance the utility of smart glasses for medical professionals.
• The eGlasses platform provides a foundation for developing and deploying these advanced interaction methods.