Search Results for author:
Found 4 papers, 0 papers with code
Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning
Functional magnetic resonance imaging (fMRI) is a neuroimaging technique that records neural activations in the brain by capturing the blood oxygen level in different regions based on the task performed by a subject.
Automated system to measure Tandem Gait to assess executive functions in children
Furthermore in order to improve the accuracy of the system, a deep learning based model was pre-trained on NTU-RGB+D 120 dataset and then it was fine-tuned on our gait dataset.
A Survey on Contrastive Self-supervised Learning
Self-supervised learning has gained popularity because of its ability to avoid the cost of annotating large-scale datasets.
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
Subsequently, results prove superiority of the proposed method over baseline methods for providing a useful representation of videos used in human activity recognition performed on datasets such as KTH, UCF101 and Ball-Drop.
Generative Adversarial Network
Human Activity Recognition
+1
