no code implementations • 13 Nov 2024 • Aditi Jaiswal, Dennis P. Wall, Peter Washington
Autism and Attention-Deficit Hyperactivity Disorder (ADHD) are two of the most commonly observed neurodevelopmental conditions in childhood.
no code implementations • 23 Aug 2024 • Marie Huynh, Aaron Kline, Saimourya Surabhi, Kaitlyn Dunlap, Onur Cezmi Mutlu, Mohammadmahdi Honarmand, Parnian Azizian, Peter Washington, Dennis P. Wall
Early detection of autism, a neurodevelopmental disorder marked by social communication challenges, is crucial for timely intervention.
no code implementations • 19 Mar 2023 • Onur Cezmi Mutlu, Mohammadmahdi Honarmand, Saimourya Surabhi, Dennis P. Wall
We introduce Temporal consistency for Test-time adaptation (TempT) a novel method for test-time adaptation on videos through the use of temporal coherence of predictions across sequential frames as a self-supervision signal.
Facial Expression Recognition
Facial Expression Recognition (FER)
+2
no code implementations • 7 Mar 2023 • Peter Washington, Dennis P. Wall
We review the literature of digital health methods for autism behavior quantification using data science.
no code implementations • 22 Nov 2022 • Anish Lakkapragada, Essam Sleiman, Saimourya Surabhi, Dennis P. Wall
Multi-Task Learning (MTL) is a growing subject of interest in deep learning, due to its ability to train models more efficiently on multiple tasks compared to using a group of conventional single-task models.
no code implementations • 5 Apr 2022 • Peter Washington, Cezmi Mutlu, Aaron Kline, Cathy Hou, Kaitlyn Dunlap, Jack Kent, Arman Husic, Nate Stockham, Brianna Chrisman, Kelley Paskov, Jae-Yoon Jung, Dennis P. Wall
Using frames collected from gameplay acquired from a therapeutic smartphone game for children with autism, we run a simulation of active learning using gameplay prompts as metadata to aid in the active learning process.
no code implementations • 26 Jan 2022 • Peter Washington, Cezmi Onur Mutlu, Aaron Kline, Kelley Paskov, Nate Tyler Stockham, Brianna Chrisman, Nick Deveau, Mourya Surhabi, Nick Haber, Dennis P. Wall
Computer Vision (CV) classifiers which distinguish and detect nonverbal social human behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the behavioral sciences.
no code implementations • 22 Aug 2021 • Agnik Banerjee, Peter Washington, Cezmi Mutlu, Aaron Kline, Dennis P. Wall
This balanced accuracy is only 1. 79% less than the current state of the art for CAFE, which used a model that contains 26. 62x more parameters and was unable to run on the Moto G6, even when fully optimized.
no code implementations • 9 Mar 2021 • Sepideh Maleki, Donya Saless, Dennis P. Wall, Keshav Pingali
While hypergraphs are a generalization of graphs, state-of-the-art graph embedding techniques are not adequate for solving prediction and classification tasks on large hypergraphs accurately in reasonable time.
no code implementations • 10 Jan 2021 • Peter Washington, Aaron Kline, Onur Cezmi Mutlu, Emilie Leblanc, Cathy Hou, Nate Stockham, Kelley Paskov, Brianna Chrisman, Dennis P. Wall
Activity recognition computer vision algorithms can be used to detect the presence of autism-related behaviors, including what are termed "restricted and repetitive behaviors", or stimming, by diagnostic instruments.
no code implementations • 19 Apr 2020 • Nick Haber, Catalin Voss, Jena Daniels, Peter Washington, Azar Fazel, Aaron Kline, Titas De, Terry Winograd, Carl Feinstein, Dennis P. Wall
With most recent estimates giving an incidence rate of 1 in 68 children in the United States, the autism spectrum disorder (ASD) is a growing public health crisis.
no code implementations • 15 Mar 2017 • Halim Abbas, Ford Garberson, Eric Glover, Dennis P. Wall
Existing screening tools for early detection of autism are expensive, cumbersome, time-intensive, and sometimes fall short in predictive value.