Djamel Azzi

According to our database, Djamel Azzi authored at least 14 papers between 2008 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2016

Activity Recognition from Video Data Using Spatial and Temporal Features.

Mohamad Al-Wattar, Rinat Khusainov, Djamel Azzi, John Chiverton

Proceedings of the 12th International Conference on Intelligent Environments, 2016

2014

Sensor Data Acquisition and Processing Parameters for Human Activity Classification.

Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov, Ifeyinwa E. Achumba, Jana Ries

Sensors, 2014

A Open Hardware Wireless Sensor Monitoring System for Human Wellbeing Research in Ambient Assisted Living.

Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov, Ifeyinwa E. Achumba

Proceedings of the Sensor Systems and Software - 5th International Conference, 2014

Artificial Immune System - A New Approach for the Long-Term Data Monitoring in Ambient Assisted Living.

Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov

Proceedings of the Sensor Systems and Software - 5th International Conference, 2014

2013

Intelligent Performance Assessment of Students' Laboratory Work in a Virtual Electronic Laboratory Environment.

Ifeyinwa E. Achumba, Djamel Azzi, Victor L. Dunn, Gloria A. Chukwudebe

IEEE Trans. Learn. Technol., 2013

Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations.

Rinat Khusainov, Djamel Azzi, Ifeyinwa E. Achumba, Sebastian D. Bersch

Sensors, 2013

Artificial Immune Systems for Anomaly Detection in Ambient Assisted Living Applications.

Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov, Ifeyinwa E. Achumba

Int. J. Ambient Comput. Intell., 2013

2012

On time series sensor data segmentation for fall and activity classification.

Ifeyinwa E. Achumba, Sebastin Bersch, Rinat Khusainov, Djamel Azzi, Ugochukwu Kamalu

Proceedings of the IEEE 14th International Conference on e-Health Networking, 2012

2011

Activity detection using frequency analysis and off-the-shelf devices: Fall detection from accelerometer data.

Sebastian D. Bersch, Christian M. J. Chislett, Djamel Azzi, Rinat Khusainov, Jim S. Briggs

Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare, 2011

Fall Detection using Biologially Inspired Monitoring - Artificial Immune System in the Area of Assisted Living.

Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov

Proceedings of the ECTA and FCTA 2011, 2011

2010

Low-Cost Virtual Laboratory Workbench for Electronic Engineering.

Ifeyinwa E. Achumba, Djamel Azzi, James Stocker

Int. J. Virtual Pers. Learn. Environ., 2010

2009

A Bayesian network approach to a biologically inspired motion strategy for mobile wireless sensor networks.

Matthew David Coles, Djamel Azzi, Barry P. Haynes, Alan Hewitt

Ad Hoc Networks, 2009

A Holistic approach to assessing students' laboratory performance using Bayesian networks.

Ifeyinwa Eucharia Chika, Djamel Azzi, Alan Hewitt, James Stocker

Proceedings of the 2009 IEEE Workshop on Computational Intelligence in Virtual Environments, 2009

2008

Genuine Lab Experiences for Students in Resource Constrained Environments: The RealLab with Integrated Intelligent Assessment.

Ifeyinwa Eucharia Chika, Djamel Azzi, James Stocker, Barry P. Haynes

Int. J. Online Eng., 2008