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Found 7 papers, 4 papers with code
QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
Beyond FER, pain estimation methods assess levels of intensity in pain expressions, however assessing the quality of all facial expressions is of critical value in health-related applications.
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment
The limited availability of labelled data in Action Quality Assessment (AQA), has forced previous works to fine-tune their models pretrained on large-scale domain-general datasets.
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
A sub-objective aims to evaluate whether indoor localisation, including its in-home gait speed features (i. e. the time taken to walk between rooms), could be used to evaluate motor fluctuations by detecting whether the person with PD is taking levodopa medications or withholding them.
Interpretable Classification of Early Stage Parkinson's Disease from EEG
Detecting Parkinson's Disease in its early stages using EEG data presents a significant challenge.
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers
We use data collected from 10 people with Parkinson's, and 10 controls, each of whom lived for five days in a smart home with various sensors.
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Our experimental results show superior results to the state of the art on both UCF101 and HMDB51 datasets when pretraining on K100 in apple-to-apple comparisons.
Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessment
We evaluate our proposed method on a dataset of 25 PD patients, obtaining 72. 3% and 77. 1% top-1 accuracy on hand movement and gait tasks respectively.
