In Spring of 2022, the INIT Lab had its first two undergraduate research assistants complete their senior theses! While we have had a long history of including undergraduates in our research, some of whom have led projects, first-authored papers, and… Read More
$-Family of Gesture Recognizers$-Family of Gesture Recognizers
New survey paper from INIT Lab graduate Alex Shaw, Ph.D.!
Dr. Alex Shaw graduated with his Ph.D. and moved on from the INIT Lab in Spring 2020. We are pleased to share that a survey paper Alex produced as part of his dissertation work has recently appeared in the Interacting… Read More
INIT Lab PhD student Alex Shaw defends his dissertation!
The INIT lab is proud to share that PhD student Alex Shaw defended his dissertation work “Automatic Recognition of Children’s Touchscreen Stroke Gestures” earlier today! Due to the ongoing COVID-19 restrictions, we held the defense virtually. Alex’s committee members were… Read More
Honorable Mention at MobileHCI for recent INIT Lab co-authored paper!
Recently, we posted about a paper that Lisa co-authored with long-time collaborators, Radu-Daniel Vatavu and Jacob O. Wobbrock, that appeared at MobileHCI’2018. The paper presented some optimizations for our well-known $P gesture recognition algorithm to make it feasible to run… Read More
Understanding Gestures Project: Implementing the $-family gesture recognizers
This summer, I have been working on a project related to the $-family of gesture recognizers. The $-family is a series of simple, fast, and accurate gesture recognizers designed to be accessible to novice programmers. $1 [1] was created by… Read More
INIT Lab collaboration results in new gesture recognizer to appear at MobileHCI’2018!
We are excited to announced that there is a new member of the $-family of gesture recognizers! A paper on a new super-quick recognizer optimized for today’s low-resource devices (e.g., wearable, embedded, and mobile devices) that I (Lisa) co-wrote with… Read More
INIT Lab PhD Student Alex Shaw wins Best Student Paper at ICMI 2017!
In our last post, we shared that we had a paper accepted to the ACM International Conference on Multimodal Interaction (ICMI) 2017, to be held in Glasgow, Scotland, UK. The paper was titled “Comparing Human and Machine Recognition of Children’s… Read More
Understanding Gestures Project: Paper on human recognition of children’s gestures accepted to ICMI!
In a previous post, we discussed our ongoing work on studying children’s gestures. To get a better idea of the target accuracy for continuing work in gesture recognition, we ran a study comparing human ability to recognize children’s gestures to… Read More
Alex gets a paper accepted to ICMI DC!
In previous posts, we have discussed our ongoing work on improving recognition of children’s touchscreen gestures. My paper, “Human-Centered Recognition of Children’s Touchscreen Gestures”, was accepted to ICMI 2017’s Doctoral Consortium! The paper focused on my future research plans as I… Read More
Understanding Gestures Project: Human recognition of children’s gestures
We are currently continuing our work in gesture recognition by studying how well humans can recognize children’s gestures. We will compare human recognition rates to the rates of the automated recognition algorithms we used in our previous work. This will help us… Read More