activity
20192026
most citedSemi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data

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

collaborators

9 papers

cs.HC2026

Skill Profiling with Attributable Reasoning (SPAR): A Wearable Analysis System for Boxing

Nibraas Khan, Hanchen David Wang, Enya Bullard +5

A punch is a ballistic, full-body action driven by a kinetic chain running from the legs through the trunk to the arm, where a small sequencing error separates a scoring strike fro…

cs.HC2026

Detecting Agitation Before Behavioral Escalation in Autistic Youth Through Multimodal Wearable Sensing

Nibraas Khan, Abigale Plunk, John Staubitz +8

Challenging behaviors including aggression, self-injury, and property destruction are observed in 68% of autistic youth and pose risks to youth and caregivers. These episodes are p…

cs.HC2024

User-Centered Design of Socially Assistive Robotic Combined with Non-Immersive Virtual Reality-based Dyadic Activities for Older Adults Residing in Long Term Care Facilities

Ritam Ghosh, Nibraas Khan, Miroslava Migovich +9

Apathy impairs the quality of life for older adults and their care providers. While few pharmacological remedies exist, current non-pharmacologic approaches are resource intensive.…

cs.LG2024

MicroXercise: A Micro-Level Comparative and Explainable System for Remote Physical Therapy

Hanchen David Wang, Nibraas Khan, Anna Chen +3

Recent global estimates suggest that as many as 2.41 billion individuals have health conditions that would benefit from rehabilitation services. Home-based Physical Therapy (PT) fa…

cs.LG2023

A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing

Nibraas Khan, Mahrukh Tauseef, Ritam Ghosh +1

Emotions are an essential part of human behavior that can impact thinking, decision-making, and communication skills. Thus, the ability to accurately monitor and identify emotions…

cs.LG2022★ 11 cited

Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data

Nibraas Khan, Nilanjan Sarkar

Physiological measurements involves observing variables that attribute to the normative functioning of human systems and subsystems directly or indirectly. The measurements can be…

cs.CR2020★ 1 cited

Steganography GAN: Cracking Steganography with Cycle Generative Adversarial Networks

Nibraas Khan, Ruj Haan, George Boktor +2

For as long as humans have participated in the act of communication, concealing information in those communicative mediums has manifested into an art of its own. Crytographic messa…

cs.AI2020

Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning

Nibraas Khan, Joshua Phillips

An integral function of fully autonomous robots and humans is the ability to focus attention on a few relevant percepts to reach a certain goal while disregarding irrelevant percep…

cs.AI2019

Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning

Nibraas Khan, Joshua Phillips

An integral function of fully autonomous robots and humans is the ability to focus attention on a few relevant percepts to reach a certain goal while disregarding irrelevant percep…