Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yangdi Xu"'
Publikováno v:
J Med Imaging (Bellingham)
Purpose: We present an original method for simulating realistic fetal neurosonography images specifically generating third-trimester pregnancy ultrasound images from second-trimester images. Our method was developed using unpaired data, as pairwise d
Autor:
Yangdi Xu, Dima Damen
Publikováno v:
ICPR
Automatic discovery of changes in a human's routine is one of the requirements for the future of smart home living, and its contribution to the E-health of the community. In this paper, a Bayesian modelling approach is used which models routine chang
Publikováno v:
Li, W, Tan, B, Xu, Y & Piechocki, R J 2018, ' Log-likelihood clustering-enabled passive rf sensing for residential activity recognition ', IEEE Sensors Journal, vol. 18, no. 13, pp. 5413-5421 . https://doi.org/10.1109/JSEN.2018.2834739
Physical activity recognition is an important research area in pervasive computing because of its importance for e-healthcare, security, and human-machine interaction. Among various approaches, passive radio frequency sensing is a well-tried radar pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c53131be2758ad1f7a7c896c9845a649
http://www.scopus.com/inward/record.url?scp=85046745803&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85046745803&partnerID=8YFLogxK
Publikováno v:
Xu, Y, Bull, D & Damen, D 2018, Unsupervised Long-Term Routine Modelling Using Dynamic Bayesian Networks . in 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) : Proceedings of a meeting held 29 November-1 December 2017, Sydney, Australia . Institute of Electrical and Electronics Engineers (IEEE), pp. 46-53, International Conference on Digital Image Computing: Techniques and Applications, 29/11/17 . https://doi.org/10.1109/DICTA.2017.8227502
DICTA
DICTA
Routine can be defined as the frequent and regular activity patterns over a specified timescale (e.g. daily/weekly routine). In this work, we capture routine patterns for a single person from long- term visual data using a Dynamic Bayesian Network (D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4613b5bffa778e4eb5a94d395af9a14a
https://hdl.handle.net/1983/d86f6b47-f324-4bca-9704-29e5e19f2c8c
https://hdl.handle.net/1983/d86f6b47-f324-4bca-9704-29e5e19f2c8c
Publikováno v:
ACPR
A person's routine incorporates the frequent and regular behaviour patterns over a time scale, e.g. daily routine. In this work we present a method for unsupervised discovery of a single person's daily routine within an indoor environment using a sta