Measuring objective and subjective well-being: dimensions and data sources
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …
societal progress. Researchers have suggested two main approaches for the overall …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …
disease diagnosis are growing fields with the potential to provide efficient means for remote …
Personal sensing: understanding mental health using ubiquitous sensors and machine learning
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
Relapse prediction in schizophrenia through digital phenotyping: a pilot study
Among individuals diagnosed, hospitalized, and treated for schizophrenia, up to 40% of
those discharged may relapse within 1 year even with appropriate treatment. Passively …
those discharged may relapse within 1 year even with appropriate treatment. Passively …
[HTML][HTML] Systematic review of smartphone-based passive sensing for health and wellbeing
Objective To review published empirical literature on the use of smartphone-based passive
sensing for health and wellbeing. Material and methods A systematic review of the English …
sensing for health and wellbeing. Material and methods A systematic review of the English …
[HTML][HTML] Identifying objective physiological markers and modifiable behaviors for self-reported stress and mental health status using wearable sensors and mobile …
Background Wearable and mobile devices that capture multimodal data have the potential
to identify risk factors for high stress and poor mental health and to provide information to …
to identify risk factors for high stress and poor mental health and to provide information to …
Seizure diaries and forecasting with wearables: epilepsy monitoring outside the clinic
It is a major challenge in clinical epilepsy to diagnose and treat a disease characterized by
infrequent seizures based on patient or caregiver reports and limited duration clinical …
infrequent seizures based on patient or caregiver reports and limited duration clinical …
Tracking depression dynamics in college students using mobile phone and wearable sensing
There are rising rates of depression on college campuses. Mental health services on our
campuses are working at full stretch. In response researchers have proposed using mobile …
campuses are working at full stretch. In response researchers have proposed using mobile …
Deep neural networks in psychiatry
Abstract Machine and deep learning methods, today's core of artificial intelligence, have
been applied with increasing success and impact in many commercial and research …
been applied with increasing success and impact in many commercial and research …