Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos

M Lu, Q Zhao, KL Poston, EV Sullivan… - Medical image …, 2021 - Elsevier
Parkinson's disease (PD) is a brain disorder that primarily affects motor function, leading to
slow movement, tremor, and stiffness, as well as postural instability and difficulty with …

HAND-REHA: dynamic hand gesture recognition for game-based wrist rehabilitation

F Farahanipad, HR Nambiappan, A Jaiswal… - Proceedings of the 13th …, 2020 - dl.acm.org
Hand-gesture recognition systems have recently gained more popularity. Moreover, there is
a growing interest in building games for other purposes apart from entertainment, such as …

Self-supervised human activity representation for embodied cognition assessment

M Zaki Zadeh, A Ramesh Babu, A Jaiswal, F Makedon - Technologies, 2022 - mdpi.com
Physical activities, according to the embodied cognition theory, are an important
manifestation of cognitive functions. As a result, in this paper, the Activate Test of Embodied …

Light-weight seated posture guidance system with machine learning and computer vision

R Kapoor, A Jaiswal, F Makedon - Proceedings of the 15th International …, 2022 - dl.acm.org
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 …

Personalized system for human gym activity recognition using an RGB camera

P Ganesh, RE Idgahi, CB Venkatesh, AR Babu… - Proceedings of the 13th …, 2020 - dl.acm.org
Human Activity Recognition is one of the most researched topics in the field of computer
vision. It is a powerful tool mainly used to aid medical systems, smart homes, surveillance …

Self-supervised human activity recognition by augmenting generative adversarial networks

MZ Zadeh, A Ramesh Babu, A Jaiswal… - Proceedings of the 14th …, 2021 - dl.acm.org
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 …

A multi-modal system to assess cognition in children from their physical movements

A Ramesh Babu, MZ Zadeh, A Jaiswal… - Proceedings of the …, 2020 - dl.acm.org
In recent years, computer and game-based cognitive tests have become popular with the
advancement in mobile technology. However, these tests require very little body movements …

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

M Zaki Zadeh, A Ramesh Babu, A Jaiswal… - Proceedings of the 14th …, 2021 - dl.acm.org
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 …

Automated system to measure static balancing in children to assess executive function

HR Pavel, E Karim, M Zaki Zadeh, A Jaiswal… - Proceedings of the 15th …, 2022 - dl.acm.org
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 …

An Intelligent Multi-Modal Framework Towards Assessing Human Cognition

A Jaiswal - 2023 - mavmatrix.uta.edu
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 …