Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
A survey of affective computing for stress detection: Evaluating technologies in stress detection for better health
S Greene, H Thapliyal… - IEEE Consumer …, 2016 - ieeexplore.ieee.org
As we become more aware of the connection between emotional states and physical health,
affective computing continues to rise as a field of interest. Affective computing uses both …
affective computing continues to rise as a field of interest. Affective computing uses both …
Can robots recover a service using interactional justice as employees do? A literature review-based assessment
M Lajante, D Remisch, N Dorofeev - Service Business, 2023 - Springer
Interactional justice (eg, empathy) plays a crucial role in service recovery. It relies on human
social skills that would prevent it from automation. However, several considerations …
social skills that would prevent it from automation. However, several considerations …
Aud-tgn: Advancing action unit detection with temporal convolution and gpt-2 in wild audiovisual contexts
Leveraging the synergy of both audio data and visual data is essential for understanding
human emotions and behaviors especially in in-the-wild setting. Traditional methods for …
human emotions and behaviors especially in in-the-wild setting. Traditional methods for …
Hack: Learning a parametric head and neck model for high-fidelity animation
Significant advancements have been made in developing parametric models for digital
humans, with various approaches concentrating on parts such as the human body, hand, or …
humans, with various approaches concentrating on parts such as the human body, hand, or …
Robust light-weight facial affective behavior recognition with clip
Human affective behavior analysis aims to delve into human expressions and behaviors to
deepen our understanding of human emotions. Basic expression categories (EXPR) and …
deepen our understanding of human emotions. Basic expression categories (EXPR) and …
Multimodal approach for assessing neuromotor coordination in schizophrenia using convolutional neural networks
YM Siriwardena, C Espy-Wilson, C Kitchen… - Proceedings of the 2021 …, 2021 - dl.acm.org
This study investigates the speech articulatory coordination in schizophrenia subjects
exhibiting strong positive symptoms (eg hallucinations and delusions), using two distinct …
exhibiting strong positive symptoms (eg hallucinations and delusions), using two distinct …
How and why could smiling influence physical health? A conceptual review
Smiling has been a topic of interest to psychologists for decades, with a myriad of studies
tying this behavior to well-being. Despite this, we know surprisingly little about the nature of …
tying this behavior to well-being. Despite this, we know surprisingly little about the nature of …
Multi-view emotional expressions dataset using 2D pose estimation
Human body expressions convey emotional shifts and intentions of action and, in some
cases, are even more effective than other emotion models. Despite many datasets of body …
cases, are even more effective than other emotion models. Despite many datasets of body …
Assessing pain using facial recognition software among Aboriginal aged care residents with cognitive impairment: A retrospective cohort study
Objective To assess the observed pain behaviours of Aboriginal residents with cognitive
impairment in aged care facilities and compare these results with a matched national …
impairment in aged care facilities and compare these results with a matched national …