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Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes [0.03%] 基于多模态预测强迫症及共病抑郁严重程度和深部脑刺激电极能量发放的研究
Saurabh Hinduja,Ali Darzi,Itir Onal Ertugrul et al. Saurabh Hinduja et al.
To develop reliable, valid, and efficient measures of obsessive-compulsive disorder (OCD) severity, comorbid depression severity, and total electrical energy delivered (TEED) by deep brain stimulation (DBS), we trained and compared random f...
A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress [0.03%] 一种新的压力检测视角：自动检测良性压力和不良压力的方法
Mohamad Awada,Burcin Becerik-Geber,Gale M Lucas et al. Mohamad Awada et al.
Previous studies have solely focused on establishing Machine Learning (ML) models for automated detection of stress arousal. However, these studies do not recognize stress appraisal and presume stress is a negative mental state. Yet, stress...
Multimodal Feature Selection for Detecting Mothers' Depression in Dyadic Interactions with their Adolescent Offspring [0.03%] 用于检测与青少年子女互动的母亲抑郁的多模态特征选择方法
Maneesh Bilalpur,Saurabh Hinduja,Laura A Cariola et al. Maneesh Bilalpur et al.
Depression is the most common psychological disorder, a leading cause of disability world-wide, and a major contributor to inter-generational transmission of psychopathology within families. To contribute to our understanding of depression ...
Automated Classification of Dyadic Conversation Scenarios using Autonomic Nervous System Responses [0.03%] 基于自主神经系统的双人对话场景自动化分类方法
Iman Chatterjee,Maja Goršič,Mohammad S Hossain et al. Iman Chatterjee et al.
Two people's physiological responses become more similar as those people talk or cooperate, a phenomenon called physiological synchrony. The degree of synchrony correlates with conversation engagement and cooperation quality, and could thus...
Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study [0.03%] 针对老年人的社会助老机器人人工情感智能的初步研究
Hojjat Abdollahi,Mohammad H Mahoor,Rohola Zandie et al. Hojjat Abdollahi et al.
This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a socially assistive robot designed to provide compani...
Indirect Identification of Perinatal Psychosocial Risks from Natural Language [0.03%] 从自然语言间接识别围产期心理社会风险
Kristen C Allen,Alex Davis,Tamar Krishnamurti Kristen C Allen
During the perinatal period, psychosocial health risks, including depression and intimate partner violence, are associated with serious adverse health outcomes for birth parents and children. To appropriately intervene, healthcare professio...
Pradeep Raj Krishnappa Babu,J Matias Di Martino,Zhuoqing Chang et al. Pradeep Raj Krishnappa Babu et al.
Atypical facial expression is one of the early symptoms of autism spectrum disorder (ASD) characterized by reduced regularity and lack of coordination of facial movements. Automatic quantification of these behaviors can offer novel biomarke...
Interpretation of Depression Detection Models via Feature Selection Methods [0.03%] 基于特征选择方法的抑郁症识别模型解释研究
Sharifa Alghowinem,Tom Gedeon,Roland Goecke et al. Sharifa Alghowinem et al.
Given the prevalence of depression worldwide and its major impact on society, several studies employed artificial intelligence modelling to automatically detect and assess depression. However, interpretation of these models and cues are rar...
James Gibson,David C Atkins,Torrey Creed et al. James Gibson et al.
We propose a methodology for estimating human behaviors in psychotherapy sessions using mutli-label and multi-task learning paradigms. We discuss the problem of behavioral coding in which data of human interactions is the annotated with lab...
Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices [0.03%] 基于固定秩半正定矩阵流形上的轨迹分析的自报疼痛自动估计方法研究
Benjamin Szczapa,Mohamed Daoudi,Stefano Berretti et al. Benjamin Szczapa et al.
We propose an automatic method to estimate self-reported pain based on facial landmarks extracted from videos. For each video sequence, we decompose the face into four different regions and the pain intensity is measured by modeling the dyn...