16 citations · 22 across the 6 of their papers we have counts for
6 papers
Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art
Elaheh Hatamimajoumerd, Pooria Daneshvar Kakhaki, Xiaofei Huang +3
Automated human action recognition, a burgeoning field within computer vision, boasts diverse applications spanning surveillance, security, human-computer interaction, tele-health,…
Automatic Assessment of Infant Face and Upper-Body Symmetry as Early Signs of Torticollis
Michael Wan, Xiaofei Huang, Bethany Tunik +1
We apply computer vision pose estimation techniques developed expressly for the data-scarce infant domain to the study of torticollis, a common condition in infants for which early…
Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations
Xiaofei Huang, Michael Wan, Lingfei Luan +2
Bilateral postural symmetry plays a key role as a potential risk marker for autism spectrum disorder (ASD) and as a symptom of congenital muscular torticollis (CMT) in infants, but…
Invariant Representation Learning for Infant Pose Estimation with Small Data
Xiaofei Huang, Nihang Fu, Shuangjun Liu +1
Infant motion analysis is a topic with critical importance in early childhood development studies. However, while the applications of human pose estimation have become more and mor…
Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions
Shuangjun Liu, Xiaofei Huang, Nihang Fu +3
Computer vision (CV) has achieved great success in interpreting semantic meanings from images, yet CV algorithms can be brittle for tasks with adverse vision conditions and the one…
Infant Contact-less Non-Nutritive Sucking Pattern Quantification via Facial Gesture Analysis
Xiaofei Huang, Alaina Martens, Emily Zimmerman +1
Non-nutritive sucking (NNS) is defined as the sucking action that occurs when a finger, pacifier, or other object is placed in the baby's mouth, but there is no nutrient delivered.…