(Demo) FlowAR: A Framework for Data-Driven Development of Human Activity Recognition Systems using Binary Sensors

FlowAR is a framework designed to streamline the data-driven development of sensor-based Activity Recognition (AR) systems, with a focus on recognizing activities of daily living (ADL) using binary sensors. It incorporates a modular pipeline (Flow) that facilitates data cleaning, segmentation, and Machine Learning (ML)-based personalized classification, allowing for flexible experimentation and thorough evaluation.