Dynamic Segmentation Approach Selection for Improved IoT-based Activity Recognition

The core message of this paper is to redefine the segmentation problem as a data decomposition problem, including a decomposer, resolutions, and a composer, and to propose a novel meta-decomposition approach that dynamically selects the appropriate segmentation method and its hyperparameters to improve the overall performance of IoT-based activity recognition systems.