activity
20222026
most citedSemi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data

11 citations · 13 across the 5 of their papers we have counts for

collaborators

6 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.GR2025

GSAC: Leveraging Gaussian Splatting for Photorealistic Avatar Creation with Unity Integration

Rendong Zhang, Alexandra Watkins, Nilanjan Sarkar

Photorealistic avatars have become essential for immersive applications in virtual reality (VR) and augmented reality (AR), enabling lifelike interactions in areas such as training…

cs.HC2025★ 2 cited

Immersive and Wearable Thermal Rendering for Augmented Reality

Alexandra Watkins, Ritam Ghosh, Evan Chow +1

We present a proof-of-concept palm-mounted thermal feedback prototype addressing thermal rendering challenges specific to augmented reality (AR), where users must interact with bot…

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.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…