activity
20202022
most citedAssessing Fatigue with Multimodal Wearable Sensors and Machine Learning

8 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2022★ 8 cited

Assessing Fatigue with Multimodal Wearable Sensors and Machine Learning

Ashish Jaiswal, Mohammad Zaki Zadeh, Aref Hebri +1

Fatigue is a loss in cognitive or physical performance due to physiological factors such as insufficient sleep, long work hours, stress, and physical exertion. It adversely affects…

cs.CV2021★ 3 cited

Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning

Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh +2

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…

cs.CV2020★ 2 cited

Automated system to measure Tandem Gait to assess executive functions in children

Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal +3

As mobile technologies have become ubiquitous in recent years, computer-based cognitive tests have become more popular and efficient. In this work, we focus on assessing motor func…

cs.CV2020

A Survey on Contrastive Self-supervised Learning

Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh +2

Self-supervised learning has gained popularity because of its ability to avoid the cost of annotating large-scale datasets. It is capable of adopting self-defined pseudo labels as…

cs.CV2020★ 6 cited

Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks

Mohammad Zaki Zadeh, Ashwin Ramesh Babu, Ashish Jaiswal +1

This article proposes a novel approach for augmenting generative adversarial network (GAN) with a self-supervised task in order to improve its ability for encoding video representa…