Browsing Library by Author "Jaiswal, Ashish"

Now showing items 1-9 of 9

    • AN INTELLIGENT MULTI-MODAL FRAMEWORK TOWARDS ASSESSING HUMAN COGNITION 

      Jaiswal, Ashish; 0000-0002-6613-4955 (2023-11-10)
      Cognition is the mental process of acquiring knowledge and understanding through thought, experience, and senses. Fatigue is a loss in cognitive or physical performance due to physiological factors such as insufficient ...

    • Automated System to Measure Static Balancing in Children to Assess Executive Function 

      Pavel, Hamza Reza; Karim, Enamul; Zadeh, Mohammad Zaki; Jaiswal, Ashish; Kapoor, Rithik; Makedon, Fillia (ACM, 2022-07-11)
      We present multiple methods based on computer vision and deep learning to automate the task of ”Balancing on one foot”. This is one of the Activate Test of Embodied Cognition (ATEC) tasks used to measure cognitive skills ...

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

      Zahed, Mohammad Zaki; Ashwin, Ramesh Babu; Jaiswal, Ashish; Kyrarini, Maria; Bell, Morris; Makedon, Fillia (ACM, 2021-07-02)
      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 function in children by analyzing their gait ...

    • Detecting Cognitive Fatigue in Subjects with Traumatic Brain Injury from FMRI Scans Using Self-Supervised Learning 

      Jaiswal, Ashish; Ashwin, Ramesh Babu; Mohammad Zaki, Zadeh; Wylie, Glenn; Makedon, Fillia (ACM, 2023-07)
      Understanding cognitive states from fMRI data have yet to be investigated to its full extent due to its complex nature. In this work, the problem of understanding cognitive fatigue among TBI patients has been formulated ...

    • An EEG-based Cognitive Fatigue Detection System 

      Enamul, Karim; Hamza Reza, Pavel; Jaiswal, Ashish; Mohammad Zaki, Zadeh; Theodanidis, Michail; Wylie, Glenn; Makedon, Fillia (ACM, 2023-07)
      Mental or Cognitive fatigue (CF) is the exhaustion of the neurological system brought on by prolonged cognitive tasks. It causes performance to decline in day-to-day life. Throughout this paper, we present an experimental ...

    • Large-Scale Self-Supervised Human Activity Recognition 

      Zadeh, Mohammad Zaki; Jaiswal, Ashish; Pavel, Hamza Reza; Hebri, Aref; Kapoor, Rithik; Makedon, Fillia (ACM, 2022-07-11)
      In this paper, a self-supervised approach is used to obtain an effective human activity representation using a limited set of annotated data. This research is aimed on acquiring human activity representation in order to ...

    • Light-Weight Seated Posture Guidance System with Machine Learning and Computer Vision 

      Kapoor, Rithik; Jaiswal, Ashish; Makedon, Fillia (ACM, 2022-07-11)
      In today’s world, the increased time people spend in front of their computers has been one of the main causes for neck and back pains. Especially, since the pandemic, it has been quite evident that slouching at home for ...

    • Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks 

      Zahed, Mohammad Zaki; Jaiswal, Ashish; Ashwin, Ramesh Babu; Kyrarini, Maria; Makedon, Fillia (ACM, 2021-07-02)
      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 representations that are useful in downstream tasks ...

    • SmartFunction: An Immersive Vr System To Assess Attention Using Embodied Cognition 

      Jaiswal, Ashish; Hebri, Aref; Hamza Reza, Pavel; Mohammad Zaki, Zadeh; Makedon, Fillia (ACM, 2023-07)
      In traditional neuropsychological tests, executive functions (EFs) are typically evaluated using paper and pencil or computer-based sit-down tasks. However, a new assessment framework, the Automated Test of Embodied ...