iBlink: HCI to tell our conscious mind through "Blinking"

 

INTRODUCTION

iBlink came from the idea of a double eyelid sticker that is commonly used in Asian countries where many women and men were trying to create the crease on their eyelid for aesthetic purpose. So I decided to use the double eyelid sticker as a circuit button, where two sides of eyelid touched, to create interactions between the user and the computer.

 

DESIGN PROTOTYPE

 

sensor

 

I designed the capacitive touch sensor by using pressure-sensitive conductive sheet for sensing pressure. Underneath the conductive sheet, I used conductive thread coated with copper tapes for wiring. On the outer surface, I used silicone polymers as the insulator for skin protection.

 

DATA COLLECTION

I collected lots of data of user's blinking patterns and capacitance in different scenarios. So far, I included the scenarios, like eye closed, eye normal open, eye open wide, daytime, and nighttime, into my datasets.

 

TRAIN & PREDICTION

To utilize the collected data from blinking, I apply the data to the machine learning classification algorithm to identify different scenarios. So far, I implemented 3 different datasets to train the program and, based on the algorithm and training datasets, I make prediction of the scenarios.

 

Developed by: Elle Luo

Advisor: Katia Vega

Video production: Elle Luo