Model-based real time analysis of distributed human activity recognition stages in wireless sensor networks

In the paper at hand, a model-based design and energy estimation approach for wireless sensor nodes in human activity recognition systems is extended. Entire wireless body area sensor networks are modeled and analyzed w.r.t. their real time capabilities of different software mappings on a system level.

[1]  Sander Stuijk,et al.  SDF^3: SDF For Free , 2006, Sixth International Conference on Application of Concurrency to System Design (ACSD'06).

[2]  Bernt Schiele,et al.  A tutorial on human activity recognition using body-worn inertial sensors , 2014, CSUR.

[3]  Jean A. Peperstraete,et al.  Cycle-static dataflow , 1996, IEEE Trans. Signal Process..

[4]  E.A. Lee,et al.  Synchronous data flow , 1987, Proceedings of the IEEE.

[5]  Christian Haubelt,et al.  Model-Based Design of Energy-Efficient Human Activity Recognition Systems with Wearable Sensors , 2018 .

[6]  T. Kirste,et al.  Computational State Space Models for Activity and Intention Recognition. A Feasibility Study , 2014, PloS one.

[7]  Sander Stuijk,et al.  Throughput-Buffering Trade-Off Exploration for Cyclo-Static and Synchronous Dataflow Graphs , 2008, IEEE Transactions on Computers.