Jump to Content
Lab
Research
Publications
Team
Opportunities
Partners
Contact Us
You are here
Home
» Deep Learning
Deep Learning
Effectiveness of an Ambient Intelligent Geriatric Management system (AmbIGeM) to prevent falls in older people in hospitals: protocol for the AmbIGeM stepped wedge pragmatic trial
Visvanathan, R.
,
D. C. Ranasinghe
,
A. Wilson
,
K. Lange
,
J. Dollard
,
E. Boyle
,
J. Karnon
,
E. Raygan
,
S. Maher
,
K. Ingram
, et al.
"
Effectiveness of an Ambient Intelligent Geriatric Management system (AmbIGeM) to prevent falls in older people in hospitals: protocol for the AmbIGeM stepped wedge pragmatic trial
"
Injury Prevention
, In Press.
read more
Efficient Dense Labelling of Human Activity Sequences from Wearables using Fully Convolutional Networks
Yao, R.
,
G. Lin
,
Q. Shi
, and
D. C. Ranasinghe
"
Efficient Dense Labelling of Human Activity Sequences from Wearables using Fully Convolutional Networks
"
Pattern Recognition
, vol. 78, pp. 252-266, 2018.
read more
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables
Varamin, A. Abedin
,
E. Abbasnejad
,
Q. Shi
,
D. C. Ranasinghe
, and
H. Rezatofighi
"
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables
"
International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2018)
, New York, USA, 2018.
read more
