Signal Processing
The breath rate (BR), heart rate (HR), breathing-breathing interval (BBI) and heart rate variability (HRV) are the critical vital sign parameters. In this article, a novel method named adaptive separation variational mode extraction algorithm (ASVME) is proposed to accurately monitor multi-variable vital signs (MVVS) at the same time with a frequency-modulated continuous wave (FMCW) radar system in practical scenarios.
- Categories:
30 Views
The dataset was collected in the actual outdoor environment of Dalian, China, with specific areas carefully selected to encompass a diverse range of environmental characteristics. These environments are extensive, including not only the urban center with high-rise office buildings and high population density but also suburban areas with scattered low-rise buildings and relative tranquility; additionally, they encompass major urban arteries with constant traffic flow and urban side streets with lighter traffic.
- Categories:
323 Views
Deadbands are embedded functions of transducers frequently exploited to remove false alarms. In existing literature, there are two major methods to design alarm deadbands, either based on the estimated probability density function (PDF) of process variables or the estimated PDF of maximum amplitude deviations (MADs). The former method only applies to independently and identically distributed (IID) process variables, while the latter method does not have this restriction. A natural question is: which method should be used for IID process variables?
- Categories:
60 Views
In the domain of gait recognition, the scarcity of non-simulated, real-world data significantly hampers the performance and applicability of recognition systems. To address this limitation, we present a comprehensive gait recognition dataset - GaitMotion- collected using built-in sensors of Android smartphones in an uncontrolled, real-world environment. This dataset captures the walking activity of 24 subjects (14 females and 10 males) above 18 years old and weighing at least 50 kg.
- Categories:
187 Views
The main contribution of this paper is the design of a novel finite time control able to track a reference under the presence of external matched and unmatched disturbances with unknown upper-bounds. The systems under study are nominally linear. The Electronic Throttle Control (ETC) system is a drive-by-wire system in which the direct mechanical linkages between the accelerator pedal and the throttle valve are replaced by sensors and
actuators pairs.
- Categories:
16 Views
This document presents a simple method for using time-domain simulations to extract an AC small-signal model of the power stage in a power converter. Such extraction is important for simulating feedback loop gain and assessing the stability of complex power converter topologies, such as resonant converters or converters with advanced switch control. With the proposed approach, a single time-domain simulation run is sufficient to extract the small-signal model, making the process time-efficient.
- Categories:
71 Views
Radar signals can penetrate non-conducting materials, such as glass, wood, and plastic, which could enable the recognition of user gestures in environments with poor visibility, occlusion, limited accessibility, and privacy sensitivity. This dataset contains nine gestures from 32 participants recorded with a radar through 3 different materials (wood, glass, and PVC) to explore the feasibility of sensing gestures through materials.
- Categories:
185 Views
A deep learning (DL)--based detector is proposed for underwater acoustic (UWA) communication systems using orthogonal chirp division multiplexing with index modulation (OCDM-IM). The proposed high-performance and lightweight network integrates the detection of the index bits and the carrier bits as a whole, employing a squeeze-and-excitation (SE) mechanism enhanced residual neural network (ResNet) cascaded with a bidirectional gated recurrent unit (BiGRU) to detect OCDM-IM signals.
- Categories:
97 Views
This dataset addresses the challenge of limited vocal recordings available in secondary datasets, particularly those that predominantly feature foreign accents and contexts. To enhance the accuracy of our solution tailored for Sri Lankans, we employed primary data-gathering methods.
The dataset comprises vocal recordings from a sample population of youth. Participants were instructed to read three specific sentences designed to capture a range of vocal tones:
- Categories:
172 Views
In this letter, a deep learning (DL)--based detector is proposed for underwater acoustic (UWA) communication systems using orthogonal chirp division multiplexing with index modulation (OCDM-IM). The proposed high-performance and lightweight network integrates the detection of the index bits and the carrier bits as a whole, employing a squeeze-and-excitation (SE) mechanism enhanced residual neural network (ResNet) cascaded with a bidirectional gated recurrent unit (BiGRU) to detect OCDM-IM signals.
- Categories:
155 Views