Results 31 to 40 of about 193,514 (294)

Sleep/Wakefulness Detection Using Tracheal Sounds and Movements.

open access: yesNature and science of sleep, 2020
The current gold standard to detect sleep/wakefulness is based on electroencephalogram, which is inconvenient if included in portable sleep screening devices. Therefore, a challenge in the portable devices is sleeping time estimation. Without sleeping time, sleep parameters such as apnea/hypopnea index (AHI), an index for quantifying sleep apnea ...
Montazeri Ghahjaverestan,Nasim   +7 more
openaire   +4 more sources

Actigraphy-based sleep/wake detection for insomniacs [PDF]

open access: yes2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2017
This paper presents an actigraphy-based approach for sleep/wake detection for insomniacs. Due to its relative unobtrusiveness, actigraphy is often used to estimate overnight sleep-wake patterns in clinical practice. However, its performance has been shown to be limited in subjects with sleep complaints such as insomniacs. Quantifying activity counts on
Long, X.   +3 more
openaire   +1 more source

Pre-Processing of Simulated Synthetic Aperture Radar Image Scenes Using Polarimetric Enhancement for Improved Ship Wake Detection

open access: yesRemote Sensing
Ship wake detection using synthetic aperture radar (SAR) imagery provides a way to obtain small marine ship information, but it often becomes unavailable and unreliable during a high sea state.
Yanni Jiang, Ziyuan Yang, Ke Li, Tao Liu
doaj   +1 more source

Receiver Design for Realizing On-Demand WiFi Wake-up using WLAN Signals

open access: yes, 2012
In this paper, we design a simple, low-cost, and low-power wake-up receiver which can be used for an IEEE 802.11-compliant device to remotely wake up the other devices by utilizing its own wireless LAN (WLAN) signals.
Ito, Tetsuya   +5 more
core   +1 more source

An Efficient Ship Detection Method Based on YOLO and Ship Wakes Using High-Resolution Optical Jilin1 Satellite Imagery

open access: yesSensors
In this study, we propose a practical and efficient scheme for ship detection in remote sensing imagery. Our method is developed using both ship body detection and ship wake detection and combines deep learning and feature-based image processing.
Fangli Mou   +4 more
doaj   +1 more source

Improving practical sensitivity of energy optimized wake-up receivers: proof of concept in 65nm CMOS

open access: yes, 2016
We present a high performance low-power digital base-band architecture, specially designed for an energy optimized duty-cycled wake-up receiver scheme. Based on a careful wake-up beacon design, a structured wake-up beacon detection technique leads to an ...
Andersson, Oskar   +4 more
core   +1 more source

Reducing false wake-up in contention-based wake-up control of wireless LANs [PDF]

open access: yes, 2018
This paper studies the potential problem and performance when tightly integrating a low power wake-up radio (WuR) and a power-hungry wireless LAN (WLAN) module for energy efficient channel access.
24123, 24124, Obana, Sadao, Tang, Suhua
core   +2 more sources

TriangularSORT: A Deep Learning Approach for Ship Wake Detection and Tracking

open access: yesJournal of Marine Science and Engineering
Ship wake detection and tracking are of paramount importance for ensuring maritime safety, conducting effective ocean monitoring, and managing maritime affairs, among other critical applications.
Chengcheng Yu, Yanmei Zhang
doaj   +1 more source

Detection of Wake Word Jamming

open access: yesProceedings of the Sixth Workshop on CPS&IoT Security and Privacy
Personal Voice Assistants (PVAs) such as Apple's Siri, Amazon's Alexa and Google Home continuously monitor the acoustic environment for a wake word to start interaction with the user. However, the wake word detection is susceptible to disruptions caused by acoustic interference. Interference might be by noise (e.g.
Prathyusha Sagi, Arun Sankar, Utz Roedig
openaire   +2 more sources

YOLOv8n–CBAM–EfficientNetV2 Model for Aircraft Wake Recognition

open access: yesApplied Sciences
In the study of aircraft wake target detection, as the wake evolves and develops, the detection area of the LiDAR often shows the presence of two distinct vortices, one on each side. Sometimes, only a single wake vortex may be present. This can lead to a
Yuzhao Ma   +3 more
doaj   +1 more source

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