In previous posts, we noted that the goal of the POSE project is to understand how children perform motions (i.e., their motion qualities) so we can improve automatic recognition of children’s motions. To accomplish this goal, we began by investigating… Read More
Pose ProjectPose Project
INIT Lab PhD student Aishat Aloba defends dissertation!
INIT Lab PhD student Aishat Aloba made us proud and defended her dissertation work “Tailoring Motion Recognition Systems to Children’s Motions” on June 18th! While we are emerging slowly from COVID-19 restrictions, the defense was held virtually for safety and… Read More
POSE Project: Paper presenting a tool to enable the examination of how users articulate whole-body gestures accepted to ICMI 2020
In our previous posts, we have noted that the pose project aims to understand how users articulate gestures to improve whole-body gesture recognition algorithms. As a first step to enable this understanding, we investigated the variations in how users move… Read More
Creating the KiMoViz Toolkit for Visualizing Motions in the Kinder-Gator Dataset
In a previous post, I mentioned that we were working on selecting a representative set of motions from our Kinder-Gator dataset [1] to help us test recognition of whole-body motions. We have since designed a toolkit to visualize this representative… Read More
Aishat gets accepted to ICMI 2019 Doctoral Consortium!
In previous posts, we have discussed our ongoing work on understanding the differences between child and adult motions to improve recognition of children’s motions. My paper, “Tailoring Motion Recognition Systems to Children’s Motions”, was accepted to the 2019 International Conference… Read More
POSE Project: Analysis of child and adult motion using gait features accepted to HCII 2019
In a previous post from a few years ago, we mentioned that our findings on the Pose project established that there were perceivable differences between child and adult motion. Our next steps were to quantify what these differences actually were. As… Read More
Pose Project: Choosing a representative subset of motions for whole-body recognition
In our previous post, we mentioned that we published the Kinder-Gator dataset, which contains the motions of 10 children and 10 adults performing motions in front of the Kinect. Currently, we are exploring recognition of whole-body motions in the dataset. Since we… Read More
Pose Project: Dataset paper accepted to Eurographics 2018
In a previous post, we discussed conducting a study in which we used the Kinect to track the motions of ten children and ten adults performing whole-body gestures, for example, wave your hand and jumping jacks. From this study, we… Read More
Pose project: poster paper to appear at Eurographics 2018 conference!
The INIT Lab Kids Pose project has had a poster paper accepted to the upcoming Eurographics conference, to be held in Delft, The Netherlands, in April 2018. This project is a collaboration with the Jain Lab, directed by Dr. Eakta… Read More
Pose Project: Next steps…
In our previous post, we mentioned that our paper “is the motion of a child perceivably different from the motion of an adult?” will be published in the Transactions on Applied Perception (TAP) journal. The paper focused on investigating if… Read More