Target motions, other than the main bulk translation of the target, induce Doppler
modulations around the main Doppler shift that form what is commonly called a target micro …

We consider a wireless acoustic sensor network, where an energy-constrained acoustic
node as relay initially harvests energy through the received radio frequency signal from the …

This paper explores the long short-term memory (LSTM) recurrent neural network for human
action recognition from micro-Doppler signatures. The recurrent neural network model is …

This paper explores computational methods to address the problem of doing inference from
data in multiple modalities, where there exists a large amount of low dimensional data …

The human auditory system is capable of grouping sounds originating from different sound
sources into coherent auditory streams, a process termed auditory stream segregation …

The purpose of this paper is to present an experimental trial carried out at the Defence
Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro …

The Johns Hopkins University MultiModal Action (JHUMMA) dataset contains a set of twenty-
one actions recorded with four sensor systems in three different modalities. The data was …

Audio-visual beamforming involves both an acoustic sensor and an omni-camera to form a
composite 3D audio-visual representation of the environment. Information from the …

In machine vision and robotic system, moving object tracking is an important issue. Much
research effort has been put to subtract moving objects from background and find out the …

ABSTRACT The Johns Hopkins University MultiModal Action (JHUMMA) dataset contains a
set of twenty-one actions recorded with four sensor systems in three different modalities. The …