Enhancing Affect Prediction with Wearables and Diaries

A recent study in Smart Health Journal introduces a cutting-edge approach to forecasting emotional states one week ahead by combining data from wearable devices and self-reported diaries. With predictive accuracy of 82.50% for positive affect and 82.76% for negative affect, this model offers a glimpse into the future of mental health monitoring. Key Insights At […]