[HTML][HTML] Mobile phone and wearable sensor-based mHealth approaches for psychiatric disorders and symptoms: systematic review
J Seppälä, I De Vita, T Jämsä, J Miettunen… - JMIR mental …, 2019 - mental.jmir.org
Background: Mobile Therapeutic Attention for Patients with Treatment-Resistant
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …
Schizophrenia (m-RESIST) is an EU Horizon 2020-funded project aimed at designing and …
A review of emotion recognition methods based on data acquired via smartphone sensors
A Kołakowska, W Szwoch, M Szwoch - Sensors, 2020 - mdpi.com
In recent years, emotion recognition algorithms have achieved high efficiency, allowing the
development of various affective and affect-aware applications. This advancement has taken …
development of various affective and affect-aware applications. This advancement has taken …
A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people
BackgroundMobile mood-monitoring applications are increasingly used by mental health
providers, widely advocated within research, and a potentially effective method to engage …
providers, widely advocated within research, and a potentially effective method to engage …
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 …
TeamSense: assessing personal affect and group cohesion in small teams through dyadic interaction and behavior analysis with wearable sensors
Continuous monitoring with unobtrusive wearable social sensors is becoming a popular
method to assess individual affect states and team effectiveness in human research. A large …
method to assess individual affect states and team effectiveness in human research. A large …
Who am i? a design probe exploring real-time transparency about online and offline user profiling underlying targeted ads
To enable targeted ads, companies profile Internet users, automatically inferring potential
interests and demographics. While current profiling centers on users' web browsing data …
interests and demographics. While current profiling centers on users' web browsing data …
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 …
[HTML][HTML] Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis
G Aalbers, AT Hendrickson… - JMIR mHealth and …, 2023 - mhealth.jmir.org
Background Stress is an important predictor of mental health problems such as burnout and
depression. Acute stress is considered adaptive, whereas chronic stress is viewed as …
depression. Acute stress is considered adaptive, whereas chronic stress is viewed as …
A wearable system for mood assessment considering smartphone features and data from mobile ECGs
Traditionally, mood is assessed by either considering physiological data or smartphones-
based self-reports. Physiological data is objective and continuous, but difficult to be …
based self-reports. Physiological data is objective and continuous, but difficult to be …
Towards developing a tool for UX evaluation using facial expression
User Experience (UX) can be considered as a quality attribute of a system, defining whether
the system is easy to adapt, efficient to use and comfortable. User experience evaluation can …
the system is easy to adapt, efficient to use and comfortable. User experience evaluation can …