Md Zia Uddin, PhD, SM-IEEE
Md Zia Uddin, PhD, SM-IEEE
Research Scientist, Software and Service Innovation Department, SINTEF Digital, Oslo, Norway
Verifisert e-postadresse på sintef.no - Startside
Tittel
Sitert av
Sitert av
År
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
2752018
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
1742012
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
1082019
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
1062009
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
1032012
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
1022017
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
982019
Ambient sensors for elderly care and independent living: a survey
M Uddin, W Khaksar, J Torresen
Sensors 18 (7), 2027, 2018
692018
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
662011
Independent shape component-based human activity recognition via Hidden Markov Model
MZ Uddin, JJ Lee, TS Kim
Applied Intelligence 33 (2), 193-206, 2010
642010
Facial expression recognition using salient features and convolutional neural network
MZ Uddin, W Khaksar, J Torresen
IEEE Access 5, 26146-26161, 2017
592017
A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system
MZ Uddin
Journal of Parallel and Distributed Computing 123, 46-53, 2019
552019
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
522017
A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare
MZ Uddin, MM Hassan, A Alsanad, C Savaglio
Information Fusion 55, 105-115, 2020
502020
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
472011
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), 1-8, 2018
452018
Activity recognition for cognitive assistance using body sensors data and deep convolutional neural network
MZ Uddin, MM Hassan
IEEE Sensors Journal 19 (19), 8413-8419, 2018
372018
A depth camera-based human activity recognition via deep learning recurrent neural network for health and social care services
SU Park, JH Park, MA Al-Masni, MA Al-Antari, MZ Uddin, TS Kim
Procedia Computer Science 100, 78-84, 2016
352016
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
352011
Classification of recurrence plots’ distance matrices with a convolutional neural network for activity recognition
E Garcia-Ceja, MZ Uddin, J Torresen
Procedia computer science 130, 157-163, 2018
342018
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Artikler 1–20