Search Results for author: Prasad Calyam

Found 5 papers, 2 papers with code

VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality

no code implementations3 Feb 2023 Ripan Kumar Kundu, Osama Yahia Elsaid, Prasad Calyam, Khaza Anuarul Hoque

Our proposed method identified eye tracking, player position, and galvanic skin/heart rate response as the most dominant features for the integrated sensor, gameplay, and bio-physiological datasets.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning

no code implementations12 Sep 2022 Ripan Kumar Kundu, Rifatul Islam, Prasad Calyam, Khaza Anuarul Hoque

The results show that the EBM can detect cybersickness with an accuracy of 99. 75% and 94. 10% for the physiological and gameplay datasets, respectively.

regression

Hyperprofile-based Computation Offloading for Mobile Edge Networks

no code implementations28 Jul 2017 Andrew Crutcher, Caleb Koch, Kyle Coleman, Jon Patman, Flavio Esposito, Prasad Calyam

We compute features for a "hyperprofile" and position nodes based on the predicted costs of offloading a particular task.

Towards a Social Virtual Reality Learning Environment in High Fidelity

1 code implementation18 Jul 2017 Chiara Zizza, Adam Starr, Devin Hudson, Sai Shreya Nuguri, Prasad Calyam, Zhihai He

Virtual Learning Environments (VLEs) are spaces designed to educate students remotely via online platforms.

Human-Computer Interaction Multimedia

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