[HTML][HTML] Digital phenotyping of mental health using multimodal sensing of multiple situations of interest: A systematic literature review
Many studies have used Digital Phenotyping of Mental Health (DPMH) to complement
classic methods of mental health assessment and monitoring. This research area proposes …
classic methods of mental health assessment and monitoring. This research area proposes …
Opportunities for smartphone sensing in e-health research: a narrative review
Recent years have seen significant advances in the sensing capabilities of smartphones,
enabling them to collect rich contextual information such as location, device usage, and …
enabling them to collect rich contextual information such as location, device usage, and …
Self-supervised pretraining and transfer learning enable\titlebreak flu and covid-19 predictions in small mobile sensing datasets
MA Merrill, T Althoff - Conference on Health, Inference, and …, 2023 - proceedings.mlr.press
Detailed mobile sensing data from phones and fitness trackers offer an opportunity to
quantify previously unmeasurable behavioral changes to improve individual health and …
quantify previously unmeasurable behavioral changes to improve individual health and …
The empathetic car: Exploring emotion inference via driver behaviour and traffic context
An empathetic car that is capable of reading the driver's emotions has been envisioned by
many car manufacturers. Emotion inference enables in-vehicle applications to improve …
many car manufacturers. Emotion inference enables in-vehicle applications to improve …
Machine learning techniques for developing remotely monitored central nervous system biomarkers using wearable sensors: a narrative literature review
Background: Central nervous system (CNS) disorders benefit from ongoing monitoring to
assess disease progression and treatment efficacy. Mobile health (mHealth) technologies …
assess disease progression and treatment efficacy. Mobile health (mHealth) technologies …
On-device modeling of user's social context and familiar places from smartphone-embedded sensor data
MG Campana, F Delmastro - Journal of Network and Computer …, 2022 - Elsevier
Context modeling and recognition represent complex tasks that allow mobile and ubiquitous
computing applications to adapt to the user's situation. The real advantage of context …
computing applications to adapt to the user's situation. The real advantage of context …
Toward nonintrusive camera-based heart rate variability estimation in the car under naturalistic condition
Driver status monitoring systems are a vital component of smart cars in the future, especially
in the era when an increasing amount of time is spent in the vehicle. The heart rate (HR) is …
in the era when an increasing amount of time is spent in the vehicle. The heart rate (HR) is …
Emotion-aware speaker identification with transfer learning
K Noh, H Jeong - IEEE Access, 2023 - ieeexplore.ieee.org
Speech is a natural communication method used by humans. Speaker identification (SI)
technology based on human speech has been used as an entry point for many human …
technology based on human speech has been used as an entry point for many human …
Affect sensing from smartphones through touch and motion contexts
Affect state of a person has an impact on the intellectual processes that control human
behavior. Experiencing negative affect escalates mental problems, and experiencing …
behavior. Experiencing negative affect escalates mental problems, and experiencing …
[PDF][PDF] The Empathetic Car: Detecting Emotion and Well-being of Drivers under Naturalistic Condition
S Liu - 2022 - research-collection.ethz.ch
Vehicles are an integral part of modern life. Across the globe, the number of vehicles has
witnessed an enormous increases from around 193 million in the 1970's in the last century …
witnessed an enormous increases from around 193 million in the 1970's in the last century …