Exploring Detection

This research explores the current landscape of non-invasive anxiety monitoring by investigating three distinct data acquisition methods. First, the study examines the WESAD (Wearable Stress and Affect Detection) framework, specifically focusing on how physiological signals from medical-grade chest bands (RespiBAN) are used to establish a baseline for stress-state accuracy. Second, the research reviews the feasibility of using consumer-grade smartwatches as a more accessible way to track heart rate and emotional states in daily life. Finally, we examined the Google MediaPipe framework as a non-wearable alternative, investigating how computer vision can track body movements and gestures as behavioral proxies for anxiety. By reviewing these diverse approaches, ranging from clinical sensors to optical sensing, this research outlines the possibilities and trade-offs of each method. This work provides a conceptual foundation for how these tools might be combined in the future to support emotional well-being.