Human Performance of Finger Identification for Multitouch Input

The project first aims at developing a robust and low latency hardware system for identifying which fingers are in contact with a surface. The second objective is to implement and refine finger identification interaction techniques that would improve the interaction with touch surfaces (smart phone, tablets, tabletops). These techniques will be evaluated to state of the art interaction techniques in controlled experiments. The expected outcomes are the development of the most robust and low latency finger identification prototype to date. This prototype will allow running the first studies for measuring the quantitative and qualitative benefits of this rich information input space.

Faculty Supervisor:

Daniel Vogel

Student:

Alix Goguey

Partner:

Discipline:

Computer science

Sector:

University:

University of Waterloo

Program:

Globalink