Minxue Niu,Yara El-Tawil,Amrit Romana et al.
Minxue Niu et al.
Modern affective computing systems rely heavily on datasets with human-annotated emotion labels for both training and evaluation. However, human annotations are expensive to obtain, sensitive to study design, and difficult to quality contro...
Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review [0.03%]
用于抑郁评估的智能手机模态数据集：系统综述
M L Tlachac,Michael V Heinz,Anastasia C Bryan et al.
M L Tlachac et al.
As mobile sensing research for depression assessment is rapidly expanding, it is vital to uncover fundamental patterns and overarching limitations in the datasets available for such research, especially as many analyses are conducted on the...
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals in Social Contexts on Zoom [0.03%]
基于可穿戴传感器的社交焦虑症患者在Zoom上的多模态生理反应
Emma R Toner,Mark Rucker,Zhiyuan Wang et al.
Emma R Toner et al.
Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety. In this study, we present results using passively collected ...
Mechanoreceptive Aβ primary afferents discriminate naturalistic social touch inputs at a functionally relevant time scale [0.03%]
机械感受Aβ初级传入纤维在功能相关的时间尺度上区分自然的社会触摸输入
Shan Xu,Steven C Hauser,Saad S Nagi et al.
Shan Xu et al.
Interpersonal touch is an important channel of social emotional interaction. How these physical skin-to-skin touch expressions are processed in the peripheral nervous system is not well understood. From microneurography recordings in humans...
Emotion Recognition in the Real-World: Passively Collecting and Estimating Emotions from Natural Speech Data of Individuals with Bipolar Disorder [0.03%]
面向躁郁症患者的自然语音情感数据采集与估计研究
Emily Mower Provost,Sarah H Sperry,James Tavernor et al.
Emily Mower Provost et al.
Emotions provide critical information regarding a person's health and well-being. Therefore, the ability to track emotion and patterns in emotion over time could provide new opportunities in measuring health longitudinally. This is of parti...
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...