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Welcome to the Embedded Systems and Signal Processing Lab (ESSP) at the University of Texas at Dallas.

Recent Papers Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari, Burst Communication by Means of Buffer Allocation in Body Sensor Networks: Exploiting Signal Processing to Reduce the Number of Transmissions, accepted for publication in IEEE Journal on Selected Areas in Communications Special Issue on Simple Wireless Sensor Networking Solutions (JSAC).

Hassan Ghasemzadeh, Roozbeh Jafari, Balakrishnan Prabhakaran, A Body Sensor Network with Electromyogram and Inertial Sensors: Multi-Modal Interpretation of Muscular Activities, accepted for publication in IEEE Transactions on Information Technology in BioMedicine Special Issue on Affective and Pervasive Computing for Healthcare (TITB).

Eric Guenterberg, Allen Y. Yang, Hassan Ghasemzadeh, Roozbeh Jafari, Ruzena Bajcsy, S. Shankar Sastry, A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks with Inertial Sensors, accepted for publication in IEEE Transactions on Information Technology in BioMedicine Special Issue on Wireless Health (TITB).

Hassan Ghasemzadeh, Eric Guenterberg, Sarah Ostadabbas, Roozbeh Jafari, A Motion Sequence Fusion Technique Based on PCA for Activity Analysis in Body Sensor Networks, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), September 2009, Minneapolis, MN.

Eric Guenterberg, Hassan Ghasemezadeh, Vitali Loseu, Roozbeh Jafari, Distributed Continuous Action Recognition using a Hidden Markov Model on Body Sensor Networks, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), June 2009, Marina Del Rey, CA.

Joining Our Team We are always on the lookout for new, talented, highly-motivated, and hard-working individuals. Please contact Roozbeh Jafari or any other member of our team to get more information on our research. Or just drop by our lab at ECSN 4.618 on the UTD campus.

Page last modified on October 25, 2009, at 09:09 PM