Mood on Move leverages the potential of widely available commercial smartwatches to infer and monitor mood states in real-world settings. Unlike prior research, which often relies on expensive, specialized hardware unavailable to the general public, our approach prioritizes accessibility and scalability.
Many existing mood-sensing solutions focus on clinical or controlled environments, utilizing sensors not found in consumer devices. This gap limits real-world applicability, making it challenging to understand mood dynamics in daily life. Mood on Move bridges this gap by demonstrating how everyday smartwatches—equipped with heart rate sensors, accelerometers, and other standard features—can provide valuable insights into emotional well-being.
Our study captures continuous data from participants in their natural environments, enabling mood detection and analysis in diverse contexts. We aim to highlight the potential of accessible tools to promote mental well-being, empower users, and advance mood recognition beyond laboratory settings.
Futhermore, we aim to create a closed loop system that enables users to be able to capture and augment their physiological state.