activity
20172026
most citedAssessing Fatigue with Multimodal Wearable Sensors and Machine Learning

8 citations · 20 across the 12 of their papers we have counts for

collaborators

13 papers

cs.RO2026

A Contrastive Fewshot RGBD Traversability Segmentation Framework for Indoor Robotic Navigation

Qiyuan An, Tuan Dang, Fillia Makedon

Indoor traversability segmentation aims to identify safe, navigable free space for autonomous agents, which is critical for robotic navigation. Pure vision-based models often fail…

cs.CV2024

Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks

Qiyuan An, Christos Sevastopoulos, Fillia Makedon

Endeavors in indoor robotic navigation rely on the accuracy of segmentation models to identify free space in RGB images. However, deep learning models are vulnerable to adversarial…

cs.RO2023

Depth-guided Free-space Segmentation for a Mobile Robot

Christos Sevastopoulos, Joey Hussain, Stasinos Konstantopoulos +2

Accurate indoor free-space segmentation is a challenging task due to the complexity and the dynamic nature that indoor environments exhibit. We propose an indoors free-space segmen…

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.LG2021

Sequential Late Fusion Technique for Multi-modal Sentiment Analysis

Debapriya Banerjee, Fotios Lygerakis, Fillia Makedon

Multi-modal sentiment analysis plays an important role for providing better interactive experiences to users. Each modality in multi-modal data can provide different viewpoints or…

cs.RO2021★ 1 cited

Towards a Multi-purpose Robotic Nursing Assistant

Krishna Chaitanya Kodur, Kaustubh Rajpathak, Akilesh Rajavenkatanarayanan +2

Robotic nursing aid is one of the heavily researched areas in robotics nowadays. Several robotic assistants exist that only focus on a specific function related to nurses assistanc…

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…

cs.HC2018

Using Humanoid Robot to Instruct and Evaluate Performance of a Physical Task

Shawn N. Gieser, Joseph Tompkins, Ali Sharifara +1

In this paper, we present a tool to assess users ability to change tasks. To do this, we use a variation of the Box and Blocks Test. In this version, a humanoid robot instructs a u…

cs.CV2018

Towards Deep Learning based Hand Keypoints Detection for Rapid Sequential Movements from RGB Images

Srujana Gattupalli, Ashwin Ramesh Babu, James Robert Brady +2

Hand keypoints detection and pose estimation has numerous applications in computer vision, but it is still an unsolved problem in many aspects. An application of hand keypoints det…

cs.CV2017

Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

Amir Ghaderi, Srujana Gattupalli, Dylan Ebert +3

HTKS is a game-like cognitive assessment method, designed for children between four and eight years of age. During the HTKS assessment, a child responds to a sequence of requests,…