Model-Based Design of Energy-Efficient Human Activity Recognition Systems with Wearable Sensors
Model-Based Design of Energy-Efficient Human Activity Recognition Systems with Wearable Sensors is a scholarly work, published in 2018 in ''Technologies''. The main subjects of the publication include dataflow, wearable technology, real-time operating system, embedded system, energy, real-time computing, efficient energy use, wireless sensor network, wearable computer, distributed computing, energy consumption, systems design, wireless communication, activity recognition, and computer science. The authors propose to combine well-known dataflow-based modeling and analysis techniques with energy models of wearable sensor devices, in order to estimate energy consumption of wireless sensor nodes for online activity recognition at design time.