Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis
The unmet timely diagnosis requirements, that take place years after substantial neural loss
and neuroperturbations in neuropsychiatric disorders, affirm the dire need for biomarkers …
and neuroperturbations in neuropsychiatric disorders, affirm the dire need for biomarkers …
Systematic review of digital phenotyping and machine learning in psychosis spectrum illnesses
Background Digital phenotyping is the use of data from smartphones and wearables
collected in situ for capturing a digital expression of human behaviors. Digital phenotyping …
collected in situ for capturing a digital expression of human behaviors. Digital phenotyping …
A review of detection techniques for depression and bipolar disorder
D Highland, G Zhou - Smart Health, 2022 - Elsevier
Depression and bipolar disorder are mood disorders affecting millions of people worldwide
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …
Affective state prediction from smartphone touch and sensor data in the wild
R Wampfler, S Klingler, B Solenthaler… - Proceedings of the …, 2022 - dl.acm.org
Knowledge of users' affective states can improve their interaction with smartphones by
providing more personalized experiences (eg, search results and news articles). We present …
providing more personalized experiences (eg, search results and news articles). We present …
Deep learning: A primer for psychologists.
Deep learning has revolutionized predictive modeling in topics such as computer vision and
natural language processing but is not commonly applied to psychological data. In an effort …
natural language processing but is not commonly applied to psychological data. In an effort …
A review of emotion recognition methods from keystroke, mouse, and touchscreen dynamics
Emotion can be defined as a subject's organismic response to an external or internal
stimulus event. The responses could be reflected in pattern changes of the subject's facial …
stimulus event. The responses could be reflected in pattern changes of the subject's facial …
[HTML][HTML] Predicting clinically relevant changes in bipolar disorder outside the clinic walls based on pervasive technology interactions via smartphone typing dynamics
Modeling smartphone keyboard dynamics as the foundation of an early warning system
(EWS) for mood instability holds potential to expand the reach of healthcare beyond the …
(EWS) for mood instability holds potential to expand the reach of healthcare beyond the …
A novel approach to clustering accelerometer data for application in passive predictions of changes in depression severity
The treatment of mood disorders, which can become a lifelong process, varies widely in
efficacy between individuals. Most options to monitor mood rely on subjective self-reports …
efficacy between individuals. Most options to monitor mood rely on subjective self-reports …
Affective state prediction based on semi-supervised learning from smartphone touch data
R Wampfler, S Klingler, B Solenthaler… - Proceedings of the …, 2020 - dl.acm.org
Gaining awareness of the user's affective states enables smartphones to support enriched
interactions that are sensitive to the user's context. To accomplish this on smartphones, we …
interactions that are sensitive to the user's context. To accomplish this on smartphones, we …
Using ambulatory assessment to measure dynamic risk processes in affective disorders
Background Rapid advances in the capability and affordability of digital technology have
begun to allow for the intensive monitoring of psychological and physiological processes …
begun to allow for the intensive monitoring of psychological and physiological processes …