Category: Pose Project

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 the variations in how users move their body parts during the performance of a motion. […]

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 convenience. Aishat’s committee members were myself (chair), Dr. Jaime Ruiz, Dr. Eakta Jain, and Dr. […]

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 their body part when performing whole-body gestures. To facilitate this investigation, we designed a method, […]

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 set of motions while we explored different representations and how they affected recognition accuracy. We […]

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 on Multimodal Interaction (ICMI) Doctoral Consortium! The doctoral consortium provides an opportunity for PhD students […]

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 a first step to investigating these quantifiable characteristics, we concentrated on temporal and spatial features […]

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 are focusing on whole-body motions, we would like to concentrate on motions in which movement […]

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 created a dataset of the whole-body gestures. Our paper titled, “Kinder-Gator: The UF Kinect dataset […]

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 Jain, also at UF CISE, and focuses on understanding the differences and similarities between child […]

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 naïve viewers can tell the difference between adult and child motion through a two-alternative forced […]