Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study
JMIR Formative Research2023Vol. 7, pp. e47950–e47950
Citations Over TimeTop 12% of 2023 papers
Abstract
Our results show the potential benefit and feasibility of using passive sensing with a smartwatch to predict maternal loneliness. Our developed machine learning models achieved a high F1-score for loneliness prediction. We also show that intensity of activity, activity pattern, and resting HR and HRV are good predictors of loneliness. These results indicate the intervention opportunities made available by wearable devices and predictive models to improve maternal well-being through early detection of loneliness.
Related Papers
- → Dimensions of loneliness(1990)15 cited
- → ON LONELINESS AND THE ELDERLY(1986)15 cited
- Loneliness and Longing: Conscious and Unconscious Aspects(2012)
- → Loneliness among seniors(2020)1 cited
- → LONELINESS IN OLD AGE: A STUDY OF ELDERLY PEOPLE IN LATVIA(2023)