Category: $-Family of Gesture Recognizers

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 gone on to graduate programs, these are our lab’s first official senior undergraduate honors theses. […]

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 with Computers journal, entitled “A Survey on Applying Automated Recognition of Touchscreen Stroke Gestures to […]

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 myself (chair), Dr. Jaime Ruiz, Dr. Eakta Jain, Dr. Damon Woodard, and Dr. Pavel Antonenko […]

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 on low-resource devices. The new algorithm is called $Q. For more on the paper, see […]

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 Wobbrock and colleagues, and INIT Lab director Lisa Anthony contributed to later algorithms, including $N […]

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 my long-time collaborators, Radu-Daniel Vatavu and Jacob O. Wobbrock, will appear at the upcoming International […]

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 Touchscreen Gestures.” We just came back from the conference and are proud to announce that […]

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 machine recognition. Our paper, “Comparing Human and Machine Recognition of Children’s Touchscreen Gestures”, quantifies how […]

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 continue to work on my doctorate. Here is the abstract: Touchscreen gestures are an important […]

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 get an idea of how well humans are able to recognize children’s gestures. That way, […]