Category: $-Family of Gesture Recognizers

In a previous post, we discussed our ongoing work on studying children’s gestures. We studied a corpus of children’s and adults’ gestures and analyzed 22 different articulation features, which we are pleased to announce has been accepted for publication at the 2016 ACM International Conference on Multimodal Interaction (ICMI). Our paper, “Analyzing the Articulation Features […]

One of the projects our lab has been working on has been a qualitative analysis of the children’s gesture data from our MTAGIC project. We submitted an extended abstract about this work to CHI and it was accepted! In the extended abstract, we detail the tools we have applied thus far to study the children’s […]

In my last post I discussed some work on the $-family of recognizers. Since then, I’ve been working on designing a standalone application for running gesture recognition experiments using the $-family. The application will also allow the user to design custom recognizers. I’ll also be using the $-family to run recognition experiments on the data […]

The $-family of recognizers are lightweight, easy to implement gesture recognizers that allow for quick development of 2-D gesture-based interfaces. These algorithms are short (less than 100 lines of code each) allowing for easy incorporation by developers into new projects. These algorithms currently achieve 98-99% accuracy for recognizing gestures made by adults, but only about […]