Remote Recording of Emotional and Activity Data: A Methodological Study
This addresses the challenge of studying emotional well-being during secluded at-home exercise, enabling mass data gathering for researchers.
The study tackled the problem of quantifying emotional expression during physical exercise by proposing a new methodology using publicly available at-home exercise videos, demonstrating robust extraction of high-resolution, reliable data from popular video sharing sites.
The impact of physical exercise on emotional well-being is one of the most important factors that drive sustained physical activity engagement. It is also one of the least studied topics on account of the rather elaborated setups required to quantify emotional expression during exercise. The wide adoption of at-home, physical exercise solutions has compounded this problem due to the secluded nature of these activities. We propose here a new methodology that would allow for mass emotional expression and physical activity data gathering using publicly available sources such as at-home exercise videos. We have shown that the methodology is robust enough to extract high resolution, reliable data from home videos posted on popular video share sites. The source-code and instructions for practical use are published online such that researchers can access data pertinent to emotional response during exertion in real world situations with applicability for prospective and retrospective studies.