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08/22/2023
Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia
Video-based ambient monitoring of gait for older adults with dementia ha...
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06/19/2023
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
The quest for human imitative AI has been an enduring topic in AI resear...
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08/22/2022
Concurrent Validity of Automatic Speech and Pause Measures During Passage Reading in ALS
The analysis of speech measures in individuals with amyotrophic lateral ...
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08/22/2022
Automated Temporal Segmentation of Orofacial Assessment Videos
Computer vision techniques can help automate or partially automate clini...
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05/07/2021
Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia
Drug-induced parkinsonism affects many older adults with dementia, often...
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01/08/2021
Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training
Although pain is frequent in old age, older adults are often undertreate...
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03/18/2020
Estimation of Orofacial Kinematics in Parkinson's Disease: Comparison of 2D and 3D Markerless Systems for Motion Tracking
Orofacial deficits are common in people with Parkinson's disease (PD) an...
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10/25/2019
Toward an Automatic System for Computer-Aided Assessment in Facial Palsy
Importance: Machine learning (ML) approaches to facial landmark localiza...
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05/17/2019
Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults with Dementia
Accurate facial expression analysis is an essential step in various clin...
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12/03/2018
A Hybrid Instance-based Transfer Learning Method
In recent years, supervised machine learning models have demonstrated tr...
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12/03/2018
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
Medical imaging machine learning algorithms are usually evaluated on a s...
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08/28/2017
Subspace Selection to Suppress Confounding Source Domain Information in AAM Transfer Learning
Active appearance models (AAMs) are a class of generative models that ha...
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07/25/2017
Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation
Objective: To apply deep learning pose estimation algorithms for vision-...
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10/26/2016
Video Analysis of "YouTube Funnies" to Aid the Study of Human Gait and Falls - Preliminary Results and Proof of Concept
Because falls are funny, YouTube and other video sharing sites contain a...
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10/12/2016
Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders
A fall is an abnormal activity that occurs rarely, so it is hard to coll...
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09/08/2012
