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Found 5 papers, 1 papers with code
Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge
In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications.
DeepLight: Robust & Unobtrusive Real-time Screen-Camera Communication for Real-World Displays
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).
Enabling Collaborative Video Sensing at the Edge through Convolutional Sharing
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.
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units
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.
BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs
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.
