Related references
Note: Only part of the references are listed.Human Observer and Automatic Assessment of Movement Related Self-Efficacy in Chronic Pain: From Exercise to Functional Activity
Temitayo A. Olugbade et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2020)
Unobtrusive Inference of Affective States in Virtual Rehabilitation from Upper Limb Motions: A Feasibility Study
Jesus Joel Rivas et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2020)
How Can Affect Be Detected and Represented in Technological Support for Physical Rehabilitation?
Temitayo A. Olugbade et al.
ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION (2019)
Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis
Adria Ruiz et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Multiple instance learning: A survey of problem characteristics and applications
Marc-Andre Carbonneau et al.
PATTERN RECOGNITION (2018)
Multiple Instance Learning for Behavioral Coding
James Gibson et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2017)
Supporting Everyday Function in Chronic Pain Using Wearable Technology
Aneesha Singh et al.
PROCEEDINGS OF THE 2017 ACM SIGCHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'17) (2017)
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset
Min S. H. Aung et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2016)
Sequential Bag-of-Words model for human action classification
Hong Liu et al.
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2016)
LOMo: Latent Ordinal Model for Facial Analysis in Videos
Karan Sikka et al.
2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2016)
Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain
Aneesha Singh et al.
HUMAN-COMPUTER INTERACTION (2015)
Perception and Automatic Recognition of Laughter from Whole-Body Motion: Continuous and Categorical Perspectives
Harry J. Griffin et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2015)
AVEC 2015-The 5th International Audio/Visual Emotion Challenge and Workshop
Fabien Ringeval et al.
MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCE (2015)
Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where
Alexander Bleier et al.
MARKETING SCIENCE (2015)
Are Valence and Arousal Separable in Emotional Experience?
Assaf Kron et al.
EMOTION (2015)
Classification and weakly, supervised pain localization using multiple segment representation
Karan Sikka et al.
IMAGE AND VISION COMPUTING (2014)
Multiple instance learning for classification of dementia in brain MRI
Tong Tong et al.
MEDICAL IMAGE ANALYSIS (2014)
Multi-task and multi-view learning of user state
Melih Kandemir et al.
NEUROCOMPUTING (2014)
Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals
Wanhui Wen et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2014)
Affective Body Expression Perception and Recognition: A Survey
Andrea Kleinsmith et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2013)
How Are You Feeling? Revisiting the Quantification of Emotional Qualia
Assaf Kron et al.
PSYCHOLOGICAL SCIENCE (2013)
Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median
Christophe Leys et al.
JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY (2013)
Multi-instance multi-label learning
Zhi-Hua Zhou et al.
ARTIFICIAL INTELLIGENCE (2012)
A Multimodal Database for Affect Recognition and Implicit Tagging
Mohammad Soleymani et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)
DEAP: A Database for Emotion Analysis Using Physiological Signals
Sander Koelstra et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)
Multiple instance learning for classifying students in learning management systems
Amelia Zafra et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Robust Object Tracking with Online Multiple Instance Learning
Boris Babenko et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)
Emotion Recognition Based on Physiological Changes in Music Listening
Jonghwa Kim et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2008)
Entertainment modeling through physiology in physical play
Georgios N. Yannakakis et al.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES (2008)
Automatic mood detection and tracking of music audio signals
L Lu et al.
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2006)
Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability?
M Brennan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2001)
Toward machine emotional intelligence: Analysis of affective physiological state
RW Picard et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2001)
Share Paper
