Md. Zia Uddin, Ph.D., SMIEEE
Md. Zia Uddin, Ph.D., SMIEEE
Research Scientist, Software and Service Innovation Group, Sintef, Oslo, Norway
Dirección de correo verificada de sintef.no - Página principal
TítuloCitado porAño
Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home
A Jalal, MZ Uddin, TS Kim
IEEE Transactions on Consumer Electronics 58 (3), 863-871, 2012
1252012
An enhanced independent component-based human facial expression recognition from video
MZ Uddin, JJ Lee, TS Kim
IEEE Transactions on Consumer Electronics 55 (4), 2216-2224, 2009
972009
A robust human activity recognition system using smartphone sensors and deep learning
MM Hassan, MZ Uddin, A Mohamed, A Almogren
Future Generation Computer Systems 81, 307-313, 2018
922018
Recognition of human home activities via depth silhouettes and ℜ transformation for Smart Homes
A Jalal, MZ Uddin, JT Kim, TS Kim
Indoor and Built Environment 21 (1), 184-190, 2012
792012
Facial expression recognition utilizing local direction-based robust features and deep belief network
MZ Uddin, MM Hassan, A Almogren, A Alamri, M Alrubaian, G Fortino
IEEE Access 5, 4525-4536, 2017
612017
Human Activity Recognition Using Body Joint‐Angle Features and Hidden Markov Model
MZ Uddin, ND Thang, JT Kim, TS Kim
Etri Journal 33 (4), 569-579, 2011
602011
Independent shape component-based human activity recognition via Hidden Markov Model
MZ Uddin, JJ Lee, TS Kim
Applied Intelligence 33 (2), 193-206, 2010
582010
Facial expression recognition using salient features and convolutional neural network
MZ Uddin, W Khaksar, J Torresen
IEEE Access 5, 26146-26161, 2017
382017
Daily Human Activity Recognition Using Depth Silhouettes and Transformation for Smart Home
A Jalal, MZ Uddin, JT Kim, TS Kim
International Conference on Smart Homes and Health Telematics, 25-32, 2011
382011
Video-based indoor human gait recognition using depth imaging and hidden Markov model: a smart system for smart home
M Zia Uddin, TS Kim, JT Kim
Indoor and built environment 20 (1), 120-128, 2011
312011
A facial expression recognition system using robust face features from depth videos and deep learning
MZ Uddin, MM Hassan, A Almogren, M Zuair, G Fortino, J Torresen
Computers & Electrical Engineering 63, 114-125, 2017
272017
Big media healthcare data processing in cloud: a collaborative resource management perspective
AK Das, T Adhikary, MA Razzaque, M Alrubaian, MM Hassan, MZ Uddin, ...
Cluster Computing 20 (2), 1599-1614, 2017
252017
Shape-based human activity recognition using independent component analysis and hidden markov model
MZ Uddin, JJ Lee, TS Kim
International Conference on Industrial, Engineering and Other Applications …, 2008
252008
Human Activity Recognition via 3-D joint angle features and Hidden Markov models
MZ Uddin, ND Thang, TS Kim
2010 IEEE International Conference on Image Processing, 713-716, 2010
222010
Human emotion recognition using deep belief network architecture
MM Hassan, MGR Alam, MZ Uddin, S Huda, A Almogren, G Fortino
Information Fusion 51, 10-18, 2019
212019
Autonomic computation offloading in mobile edge for IoT applications
MGR Alam, MM Hassan, MZI Uddin, A Almogren, G Fortino
Future Generation Computer Systems 90, 149-157, 2019
212019
Spatiotemporal human facial expression recognition using fisher independent component analysis and hidden markov model
JJ Lee, MZ Uddin, TS Kim
2008 30th Annual International Conference of the IEEE Engineering in …, 2008
212008
Human activity recognition using independent component features from depth images
MZ Uddin, JJ Lee, TS Kim
Proceedings of the 5th International Conference on Ubiquitous Healthcare …, 2008
182008
Human activity recognition from body sensor data using deep learning
MM Hassan, S Huda, MZ Uddin, A Almogren, M Alrubaian
Journal of medical systems 42 (6), 99, 2018
172018
An indoor human activity recognition system for smart home using local binary pattern features with hidden markov models
MZ Uddin, DH Kim, JT Kim, TS Kim
Indoor and Built Environment 22 (1), 289-298, 2013
172013
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20