Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Karl Woodbridge"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 4, Pp 652-664 (2023)
Abstract This work introduces an attention mechanism that can be integrated into any standard convolution neural network to improve model sensitivity and prediction accuracy with minimal computational overhead. The attention mechanism is introduced i
Externí odkaz:
https://doaj.org/article/68540e9ab48d4c2a965bbf33c1a73105
Autor:
Mohammud J. Bocus, Wenda Li, Shelly Vishwakarma, Roget Kou, Chong Tang, Karl Woodbridge, Ian Craddock, Ryan McConville, Raul Santos-Rodriguez, Kevin Chetty, Robert Piechocki
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-18 (2022)
Measurement(s) Human physical activity • Human location Technology Type(s) WiFi sensing device • ultra-wideband impulse radar • passive WiFi radar • Kinect motion sensor Factor Type(s) Human location • Human physical activity • Room geome
Externí odkaz:
https://doaj.org/article/243275b71631402c851afb4595de561e
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 7, Pp 1083-1094 (2022)
Abstract Software defined radar (SDRadar) systems have become an important area for future radar development and are based on similar concepts to Software defined radio (SDR). Most of the processing like filtering, frequency conversion and signal gen
Externí odkaz:
https://doaj.org/article/4973a7e0cb67473fadff33605c253524
Publikováno v:
IEEE Access, Vol 8, Pp 12426-12437 (2020)
The pervasive deployment of connected devices in modern society has significantly changed the nature of the wireless landscape, especially in the license free industrial, scientific and medical (ISM) bands. This paper introduces a deep learning enabl
Externí odkaz:
https://doaj.org/article/9bdbb99d849d48a49870a1068b041797
Publikováno v:
IET Radar, Sonar & Navigation. 17:652-664
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 37:6-22
Publikováno v:
IEEE Sensors Journal. 22:2484-2495
Autor:
Karl Woodbridge, Mohammud Junaid Bocus, Kevin Chetty, Wenda Li, Chong Tang, Robert J. Piechocki
Publikováno v:
IEEE Transactions on Wireless Communications. 21:607-620
The use of Wi-Fi signals for human sensing has gained significant interest over the past decade. Such techniques provide affordable and reliable solutions for healthcare-focused events such as vital sign detection, prevention of falls and long-term m
Autor:
Karl Woodbridge, Hugh Griffiths
Publikováno v:
International journal of simulation: systems, science & technology.
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:1986-1998
Human sensing using WiFi signal transmissions is attracting significant attention for future applications in e-healthcare, security, and the Internet of Things (IoT). The majority of WiFi sensing systems are based around processing of channel state i