no code implementations • 27 Sep 2024 • Argha Sen, Nuwan Bandara, Ila Gokarn, Thivya Kandappu, Archan Misra
To address these limitations, we propose EyeTrAES, a novel approach using neuromorphic event cameras for high-fidelity tracking of natural pupillary movement that shows significant kinematic variance.
1 code implementation • 13 Aug 2022 • Zahid Hasan, Emon Dey, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Archan Misra
In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications.
no code implementations • 11 May 2021 • Vu Tran, Gihan Jayatilaka, Ashwin Ashok, Archan Misra
We show that a fully functional DeepLight system is able to robustly achieve high decoding accuracy (frame error rate < 0. 2) and moderately-high data goodput (>=0. 95Kbps) using a human-held smartphone camera, even over larger screen-camera distances (approx =2m).
no code implementations • 3 Dec 2020 • Kasthuri Jayarajah, Dhanuja Wanniarachchige, Archan Misra
While Deep Neural Network (DNN) models have provided remarkable advances in machine vision capabilities, their high computational complexity and model sizes present a formidable roadblock to deployment in AIoT-based sensing applications.
no code implementations • 5 Jul 2019 • Lakmal Meegahapola, Vengateswaran Subramaniam, Lance Kaplan, Archan Misra
In this paper, we introduce the concept of Prior Activation Distribution (PAD) as a versatile and general technique to capture the typical activation patterns of hidden layer units of a Deep Neural Network used for classification tasks.
no code implementations • 22 Sep 2017 • Jagmohan Chauhan, Suranga Seneviratne, Yining Hu, Archan Misra, Aruna Seneviratne, Youngki Lee
Increasing popularity of IoT devices makes a strong case for implementing RNN based inferences for applications such as acoustics based authentication, voice commands, and edge analytics for smart homes.