Delves into the energy-efficient distributed machine learning approach in the IoT era, emphasizing the importance of summarizing data for improved communication energy efficiency.
Explores sensing considerations for industrial use cases, emphasizing the importance of understanding specific application fields and the convergence in sensor requirements across different IoT products.
Explores wearable systems for gait kinematics analysis and modeling, including sensor calibrations, fusion algorithms, and orientation drift correction.
