Nowadays, non-privacy small-scale motion detection has attracted an increasing amount of
research in remote sensing in speech recognition. These new modalities are employed to …

Small-scale motion detection using non-invasive remote sensing techniques has recently
garnered significant interest in the field of speech recognition. Our dataset paper aims to …

Machine learning (ML) has extensive applications in healthcare for the classification of vital
and health signals from raw data. This method both improves the existing measurement …

Stand-off imaging using active illumination is challenging as the intensity of the
backscattered light drops with the square of the distance to the target. Homodyne or …

Detection and recovery of audio signals using optical methods is an appealing topic.
Observing the movement of secondary speckle patterns is a convenient method for such a …

As a laser passes through a scattering medium, the light interacts with the irregular
reflections within the medium, resulting in light scattering and the formation of speckles. In …

This thesis delves into the application of various RF signaling techniques in HumanCentric
Monitoring (HCM), specifically focusing on WiFi, LoRa, Ultra-wideband (UWB) radars, and …

Methods Firstly, we conducted a literature review to establish the necessary sensors and
experimental setup for radar-based speech recognition, given the absence of a standard …