ORCID Profile
0000-0003-2279-7041
Current Organisation
The University of Canberra
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Computer-Human Interaction | Linguistics | Computational Linguistics | Laboratory Phonetics and Speech Science | Genetics | Artificial Intelligence and Image Processing | Library and Information Studies | Information Systems Management | Neural, Evolutionary and Fuzzy Computation | Pattern Recognition and Data Mining | Linguistic Processes (incl. Speech Production and Comprehension) | Data Storage Representations | Information Storage, Retrieval And Management | Turbulent Flows | Genomics | Business Information Systems | Cosmology and Extragalactic Astronomy
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Mental Health | Application tools and system utilities | Library and related information services | Communication services not elsewhere classified | Education and Training not elsewhere classified | Behavioural and cognitive sciences | Information Processing Services (incl. Data Entry and Capture) | Information and Communication Services not elsewhere classified | Rail Safety |
Related Links
Publications
Monocular and Stereo Methods for AAM Learning from Video
Publisher: IEEE
Date: 06-2007
EmotiW 2016: video and group-level emotion recognition challenges
Publisher: ACM
Date: 31-10-2016
Micro-Expression Recognition Based on Video Motion Magnification and Pre-trained Neural Network
Publisher: IEEE
Date: 19-09-2021
An improved NN training scheme using two-stage LDA features for face recognition
Publisher: Springer Berlin Heidelberg
Date: 2012
Relative Body Parts Movement for Automatic Depression Analysis
Publisher: IEEE
Date: 09-2013
DOI: 10.1109/ACII.2013.87
Design of an Emotion Elicitation Framework for Arabic Speakers
Publisher: Springer International Publishing
Date: 2014
Robust visual vocabulary tracking using hierarchical model fusion
Publisher: IEEE
Date: 11-2013
Human Postural Sway Estimation from Noisy Observations
Publisher: IEEE
Date: 05-2017
DOI: 10.1109/FG.2017.62
Ordered trajectories for large scale human action recognition
Publisher: IEEE
Date: 12-2013
A Nonlinear Discriminative Approach to AAM Fitting
Publisher: IEEE
Date: 2007
Detecting depression: A comparison between spontaneous and read speech
Publisher: IEEE
Date: 05-2013
Affective computational advertising based on perceptual metrics
Publisher: IOP Publishing
Date: 08-2023
Detecting self-stimulatory behaviours for autism diagnosis
Publisher: IEEE
Date: 10-2014
Dense body part trajectories for human action recognition
Publisher: IEEE
Date: 10-2014
Efficient multi-target tracking via discovering dense subgraphs
Publisher: Elsevier BV
Date: 03-1970
A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild
Publisher: IEEE
Date: 03-2014
Illumination and Expression Invariant Recognition Using SSIM Based Sparse Representation
Publisher: IEEE
Date: 08-2010
Collecting Large, Richly Annotated Facial-Expression Databases from Movies
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2012
DOI: 10.1109/MMUL.2012.26
A Wavelet-Based Approach to Image Feature Stability Assessment
Publisher: IEEE
Date: 2006
Modeling Stress Using Thermal Facial Patterns: A Spatio-temporal Approach
Publisher: IEEE
Date: 09-2013
DOI: 10.1109/ACII.2013.70
Extending CSR Accreditation Brands It May Not Always Work
Publisher: Springer Nature Singapore
Date: 2022
Optical flow estimation using Fourier Mellin Transform
Publisher: IEEE
Date: 06-2008
Cross-cultural detection of depression from nonverbal behaviour
Publisher: IEEE
Date: 05-2015
Facial feature tracking: a psychophysiological measure to assess exercise intensity?
Publisher: Informa UK Limited
Date: 30-06-2017
DOI: 10.1080/02640414.2017.1346275
Abstract: The primary aim of this study was to determine whether facial feature tracking reliably measures changes in facial movement across varying exercise intensities. Fifteen cyclists completed three, incremental intensity, cycling trials to exhaustion while their faces were recorded with video cameras. Facial feature tracking was found to be a moderately reliable measure of facial movement during incremental intensity cycling (intra-class correlation coefficient = 0.65-0.68). Facial movement (whole face (WF), upper face (UF), lower face (LF) and head movement (HM)) increased with exercise intensity, from lactate threshold one (LT1) until attainment of maximal aerobic power (MAP) (WF 3464 ± 3364mm, P < 0.005 UF 1961 ± 1779mm, P = 0.002 LF 1608 ± 1404mm, P = 0.002 HM 849 ± 642mm, P < 0.001). UF movement was greater than LF movement at all exercise intensities (UF minus LF at: LT1, 1048 ± 383mm LT2, 1208 ± 611mm MAP, 1401 ± 712mm P < 0.001). Significant medium to large non-linear relationships were found between facial movement and power output (r
Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
A Quadratic Deformation Model for Facial Expression Recognition
Publisher: IEEE
Date: 2009
Interpretation of Depression Detection Models via Feature Selection Methods
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Pose Normalization via Learned 2D Warping for Fully Automatic Face Recognition
Publisher: British Machine Vision Association
Date: 2011
DOI: 10.5244/C.25.127
Emotion recognition in the wild challenge 2016
Publisher: ACM
Date: 31-10-2016
Joint Registration and Representation Learning for Unconstrained Face Identification
Publisher: IEEE
Date: 07-2017
A temporally piece-wise fisher vector approach for depression analysis
Publisher: IEEE
Date: 09-2015
Can Body Expressions Contribute to Automatic Depression Analysis?
Publisher: IEEE
Date: 04-2013
Evaluating AAM fitting methods for facial expression recognition
Publisher: IEEE
Date: 09-2009
Cross-Cultural Depression Recognition from Vocal Biomarkers
Publisher: ISCA
Date: 08-09-2016
Multimodal assessment of depression from behavioral signals
Publisher: Association for Computing Machinery
Date: 10-2018
Play with me - Measuring a child's engagement in a social interaction
Publisher: IEEE
Date: 05-2015
Emotion recognition using PHOG and LPQ features
Publisher: IEEE
Date: 03-2011
Diagnosis of depression by behavioural signals
Publisher: ACM
Date: 21-10-2013
To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion
Publisher: ACM
Date: 07-11-2022
A systematic review of neurophysiological sensing for the assessment of acute pain
Publisher: Springer Science and Business Media LLC
Date: 26-04-2023
DOI: 10.1038/S41746-023-00810-1
Abstract: Pain is a complex and personal experience that presents erse measurement challenges. Different sensing technologies can be used as a surrogate measure of pain to overcome these challenges. The objective of this review is to summarise and synthesise the published literature to: (a) identify relevant non-invasive physiological sensing technologies that can be used for the assessment of human pain, (b) describe the analytical tools used in artificial intelligence (AI) to decode pain data collected from sensing technologies, and (c) describe the main implications in the application of these technologies. A literature search was conducted in July 2022 to query PubMed, Web of Sciences, and Scopus. Papers published between January 2013 and July 2022 are considered. Forty-eight studies are included in this literature review. Two main sensing technologies (neurological and physiological) are identified in the literature. The sensing technologies and their modality (unimodal or multimodal) are presented. The literature provided numerous ex les of how different analytical tools in AI have been applied to decode pain. This review identifies different non-invasive sensing technologies, their analytical tools, and the implications for their use. There are significant opportunities to leverage multimodal sensing and deep learning to improve accuracy of pain monitoring systems. This review also identifies the need for analyses and datasets that explore the inclusion of neural and physiological information together. Finally, challenges and opportunities for designing better systems for pain assessment are also presented.
A Multidimensional Approach to Develop Sway Index Using Gaussian Mixture Model: A Way of Postural Sway Measurement and Analysis in Different Age Groups
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017
Publisher: ACM
Date: 23-10-2017
Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary
Publisher: ACM
Date: 09-12-2013
Investigating LSTM for Micro-Expression Recognition
Publisher: ACM
Date: 25-10-2020
Automatic depression classification based on affective read sentences: Opportunities for text-dependent analysis
Publisher: Elsevier BV
Date: 12-2019
On the Effect of Human Body Parts in Large Scale Human Behaviour Recognition
Publisher: IEEE
Date: 11-2013
The Composite Sensing of Affect
Publisher: Springer Berlin Heidelberg
Date: 2008
A Systematic Review on Functional Near-Infrared Spectroscopy Concurrent With Quantitative Balance Assessment
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Deck the Halls With Boughs of Holly to Soften Evaluations of Service Failure
Publisher: SAGE Publications
Date: 25-02-2018
Abstract: Symbols associated with seasonal religious festivals are periodically displayed by service providers, but do these symbols serve more than just a decorative function? Findings from seven experiments suggest they do. In the presence of such symbols, in iduals soften their evaluations of a personally experienced service failure encounter. This effect emerges through the activation of forgiveness but only among those with a religious upbringing and only when the encounter involves service failure (rather than neutral service). The softening of service evaluations in the presence of such symbols is reversed, however, when service failure is observed (rather than directed at the self) and when the recipient of that failure is perceived to be vulnerable. Contextual exposure to symbols associated with seasonal religious festivals therefore presents a double-edged sword for managers depending upon the service failure recipient, these symbols can harden or soften evaluations of the service failure encounter.
Design, Synthesis, Characterization, and In Vitro Evaluation of a New Cross-Linked Hyaluronic Acid for Pharmaceutical and Cosmetic Applications
Publisher: MDPI AG
Date: 13-10-2021
DOI: 10.3390/PHARMACEUTICS13101672
Abstract: Hyaluronic acid (HA), an excellent biomaterial with unique bio properties, is currently one of the most interesting polymers for many biomedical and cosmetic applications. However, several of its potential benefits are limited as it is rapidly degraded by hyaluronidase enzymes. To improve the half-life and consequently increase performance, native HA has been modified through cross-linking reactions with a natural and biocompatible amino acid, Ornithine, to overcome the potential toxicity commonly associated with traditional linkers. 2-chloro-dimethoxy-1,3,5-triazine/4-methylmorpholine (CDMT/NMM) was used as an activating agent. The new product (HA–Orn) was extensively characterized to confirm the chemical modification, and rheological analysis showed a gel-like profile. In vitro degradation experiments showed an improved resistance profile against enzymatic digestions. Furthermore, in vitro cytotoxicity studies were performed on lung cell lines (Calu-3 and H441), which showed no cytotoxicity.
From individual to group-level emotion recognition: EmotiW 5.0
Publisher: ACM
Date: 03-11-2017
Iterative Error Bound Minimisation for AAM Alignment
Publisher: IEEE
Date: 2006
Quinine ingestion during the latter stages of a 3,000-m time trial fails to improve cycling performance
Publisher: Human Kinetics
Date: 2021
Abstract: The ingestion of quinine, a bitter tastant, improves short-term (30 s) cycling performance, but it is unclear whether this effect can be integrated into the last effort of a longer race. The purpose of this study was to determine whether midtrial quinine ingestion improves 3,000-m cycling time-trial (TT) performance. Following three familiarization TTs, 12 well-trained male cyclists (mean ± SD : mass = 76.6 ± 9.2 kg, maximal aerobic power = 390 ± 50 W, maximal oxygen uptake = 4.7 ± 0.6 L/min) performed four experimental 3,000-m TTs on consecutive days. This double-blind, crossover design study had four randomized and counterbalanced conditions: (a) Quinine 1 (25-ml solution, 2 mM of quinine) (b) Quinine 2, replicate of Quinine 1 (c) a 25-ml sweet-tasting no-carbohydrate solution (Placebo) and (d) 25 ml of water (Control) consumed at the 1,850-m point of the TT. The participants completed a series of perceptual scales at the start and completion of all TTs, and the power output was monitored continuously throughout all trials. The power output for the last 1,000 m for all four conditions was similar: mean ± SD : Quinine 1 = 360 ± 63 W, Quinine 2 = 367 ± 63 W, Placebo = 364 ± 64 W, and Control = 367 ± 58 W. There were also no differences in the 3,000-m TT power output between conditions. The small perceptual differences between trials at specific 150-m splits were not explained by quinine intake. Ingesting 2 mM of quinine during the last stage of a 3,000-m TT did not improve cycling performance.
Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network
Publisher: Elsevier BV
Date: 2023
Current trends in joint audio-video signal processing: a review
Publisher: IEEE
Date: 2005
Discriminative multi-task sparse learning for robust visual tracking using conditional random field
Publisher: IEEE
Date: 11-2015
A SSIM-based approach for finding similar facial expressions
Publisher: IEEE
Date: 03-2011
Can Synthetic Data Improve Multi-Class Counting of Surgical Instruments?
Publisher: IEEE
Date: 30-11-2022
Examining Subject-Dependent and Subject-Independent Human Affect Inference from Limited Video Data
Publisher: IEEE
Date: 05-01-2023
Learning AAM fitting through simulation
Publisher: Elsevier BV
Date: 11-2009
Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis
Publisher: British Machine Vision Association
Date: 2015
DOI: 10.5244/C.29.34
Image Reconstruction from Contrast Information
Publisher: IEEE
Date: 2008
Professional athlete responses to new product development: A dialectic
Publisher: Informa UK Limited
Date: 09-06-2023
Monocular Image 3D Human Pose Estimation under Self-Occlusion
Publisher: IEEE
Date: 12-2013
Emotion recognition in the wild challenge 2013
Publisher: ACM
Date: 09-12-2013
Facial Performance Transfer via Deformable Models and Parametric Correspondence
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2012
An investigation of linguistic stress and articulatory vowel characteristics for automatic depression classification
Publisher: Elsevier BV
Date: 2019
Self-Stimulatory Behaviours in the Wild for Autism Diagnosis
Publisher: IEEE
Date: 12-2013
Explainable Depression Detection via Head Motion Patterns
Publisher: ACM
Date: 09-10-2023
Protocol for The International Cohort on Lifestyle Determinants of Health Study: A Longitudinal Investigation of Complementary and Integrative Health Utilization in Postsecondary Education Students
Publisher: Mary Ann Liebert Inc
Date: 02-2021
EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges
Publisher: ACM
Date: 21-10-2020
Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks
Publisher: Springer International Publishing
Date: 2020
Multimodal Framework for Analyzing the Affect of a Group of People
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2018
An Investigation of Emotional Speech in Depression Classification
Publisher: ISCA
Date: 08-09-2016
Quaternion Potential Functions for a Colour Image Completion Method Using Markov Random Fields
Publisher: IEEE
Date: 12-2007
Multimodal assistive technologies for depression diagnosis and monitoring
Publisher: Springer Science and Business Media LLC
Date: 07-09-2013
Herbal extracts, lichens and biomolecules as natural photo-protection alternatives to synthetic UV filters. A systematic review
Publisher: Elsevier BV
Date: 10-2016
DOI: 10.1016/J.FITOTE.2016.09.003
Abstract: Besides the unquestionable positive effects of solar exposure for human health, UV rays have been widely investigated for toxicology aspects related to excessive UVB and UVA doses, which involve sunburns, skin aging, DNA skin damage and tumorigenesis. At present, synthetic and mineral sunscreens are used to protect against these damages but several natural molecules can provide UV protection, including also synergic effect or enhanced photo stability. Although a large number of herbal extracts and plant origin molecules can deserve potential applications, most of the study reported utilizes different method and different strategies of investigation, making thus difficult to understand the real versus claimed potential. This is possibly one of the reasons why, beside the large body of literature there are no officially approved natural commercial sun-filter but a consistent number of commercially available solar products (sunscreen) on the market that contain herbal derivatives. In this review we have evaluated the papers appeared in the last 15years and we have critically collected the most significant data. Several databases, namely Scifinder, Pubmed, Google Scholar, ISI-Web of Science and Scopus, were used as literature sources excluding patents and symposium or congress papers. Only articles in the English language have been selected. New formulation, new skin delivery systems, skin penetration enhancers and boosters are most likely the next frontier of investigation in order to better understand the role of whole herbal extracts in exerting their photo protective activity.
Detection of universal cross-cultural depression indicators from the physiological signals of observers
Publisher: IEEE
Date: 10-2017
Automated Measurement of Head Movement Synchrony during Dyadic Depression Severity Interviews
Publisher: IEEE
Date: 05-2019
An approach for automatically measuring facial activity in depressed subjects
Publisher: IEEE
Date: 09-2009
Joint sparsity-based robust visual tracking
Publisher: IEEE
Date: 10-2014
Finding Happiest Moments in a Social Context
Publisher: Springer Berlin Heidelberg
Date: 2013
EmotiW 2023: Emotion Recognition in the Wild Challenge
Publisher: ACM
Date: 09-10-2023
Help‐seeker expectations and outcomes of a crisis support service: Comparison of suicide‐related and non‐suicide‐related contacts to lifeline Australia
Publisher: Hindawi Limited
Date: 08-06-2022
DOI: 10.1111/HSC.13857
Abstract: Lifeline Australia aims to prevent suicide and support community members in personal crisis via the provision of free anonymous telephone, online chat and text message services. This study aimed to identify the expectations and outcomes of Lifeline help-seekers, including whether there are differences between suicide-related and non-suicide-related contacts. Help-seekers (N = 553) who had previously contacted Lifeline via telephone, online chat, or text message crisis services were recruited via social media and a link provided after Lifeline service use, who completed an online survey about their awareness, expectations and outcomes of Lifeline's services. The responses from help-seekers who self-reported suicide-related and non-suicide-related reasons for contact were compared. Participants were highly aware of Lifeline's services, particularly the phone service. The main expectations of all help-seekers were to feel heard and listened to, feel less upset and feel understood. There were 59.5% of the s le that reported suicidality as a reason for contact. Suicide-related contacts endorsed more reasons for contact than non-suicide-related contacts. Expectations of suicide-related help-seekers were greater, but they were less likely to report that their expectations were met. The high expectations and complexity of suicide-related contacts reveal the challenges in meeting the needs of this high-priority group, particularly within the context of the multiple demands on crisis support services.
Injury Mechanism Classification in Soccer Videos
Publisher: IEEE
Date: 12-2015
Video and image based Emotion recognition challenges in the wild: EmotiW 2015
Publisher: ACM
Date: 09-11-2015
Learning-based Face Synthesis for Pose-Robust Recognition from Single Image
Publisher: British Machine Vision Association
Date: 2009
DOI: 10.5244/C.23.31
A Novel Underactuated Robotic Orthosis for Individualized Gait Rehabilitation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Multi-view multi-modal gait based human identity recognition from surveillance videos
Publisher: Springer Berlin Heidelberg
Date: 2013
Heart rate estimation from facial videos for depression analysis
Publisher: IEEE
Date: 10-2017
AusTalk — The Australian speech database: Design framework, recording experience and localisation
Publisher: IEEE
Date: 07-2013
Towards Affective Sensing
Publisher: Springer Berlin Heidelberg
Date: 2007
Gait Estimation and Analysis from Noisy Observations.
Publisher: IEEE
Date: 07-2019
Voice source waveforms for utterance level speaker identification using support vector machines
Publisher: IEEE
Date: 07-2013
A comparative study of different classifiers for detecting depression from spontaneous speech
Publisher: IEEE
Date: 05-2013
The more the merrier: Analysing the affect of a group of people in images
Publisher: IEEE
Date: 05-2015
EREC-II in Use – Studies on Usability and Suitability of a Sensor System for Affect Detection and Human Performance Monitoring
Publisher: Springer Berlin Heidelberg
Date: 2007
A Video-Based Facial Behaviour Analysis Approach to Melancholia
Publisher: IEEE
Date: 05-2017
DOI: 10.1109/FG.2017.94
Towards the Design of a Human-Inspired Gripper for Textile Manipulation
Publisher: IEEE
Date: 08-2020
<title>Fast voxel-based 2D/3D registration algorithm using a volume rendering method based on the shear-warp factorization</title>
Publisher: SPIE
Date: 21-05-1999
DOI: 10.1117/12.348638
Automatic frontal face annotation and AAM building for arbitrary expressions from a single frontal image only
Publisher: IEEE
Date: 11-2009
Multimodal physiological sensing for the assessment of acute pain
Publisher: Frontiers Media SA
Date: 19-06-2023
DOI: 10.3389/FPAIN.2023.1150264
Abstract: Pain assessment is a challenging task encountered by clinicians. In clinical settings, patients’ self-report is considered the gold standard in pain assessment. However, patients who are unable to self-report pain are at a higher risk of undiagnosed pain. In the present study, we explore the use of multiple sensing technologies to monitor physiological changes that can be used as a proxy for objective measurement of acute pain. Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) signals were collected from 22 participants under two pain intensities (low and high) and on two different anatomical locations (forearm and hand). Three machine learning models were implemented, including support vector machines (SVM), decision trees (DT), and linear discriminant analysis (LDA) for the identification of pain. Various pain scenarios were investigated, identification of pain (no pain, pain), multiclass (no pain, low pain, high pain), and identification of pain location (forearm, hand). Reference classification results from in idual sensors and from all sensors together were obtained. After feature selection, results showed that EDA was the most informative sensor in the three pain conditions, 93.2 ± 8 % in identification of pain, 68.9 ± 10 % in the multiclass problem, and 56.0 ± 8 % for the identification of pain location. These results identify EDA as the superior sensor in our experimental conditions. Future work is required to validate the obtained features to improve its feasibility in more realistic scenarios. Finally, this study proposes EDA as a candidate to design a tool that can assist clinicians in the assessment of acute pain of nonverbal patients.
CNN Depression Severity Level Estimation from Upper Body vs. Face-Only Images
Publisher: Springer International Publishing
Date: 2021
Regression based automatic face annotation for deformable model building
Publisher: Elsevier BV
Date: 10-2011
Mechanism Design and Control of Shoulder Rehabilitation Robots: A Review
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Adaptive multiple component metric learning for robust visual tracking
Publisher: Springer Berlin Heidelberg
Date: 2013
Linear Facial Expression Transfer with Active Appearance Models
Publisher: IEEE
Date: 08-2010
Elicitation Design for Acoustic Depression Classification: An Investigation of Articulation Effort, Linguistic Complexity, and Word Affect
Publisher: ISCA
Date: 20-08-2017
The influence of temporal information on human action recognition with large number of classes
Publisher: IEEE
Date: 11-2015
EmotiW 2019: Automatic Emotion, Engagement and Cohesion Prediction Tasks
Publisher: ACM
Date: 14-10-2019
Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields
Publisher: IEEE
Date: 2007
MSMCT: Multi-State Multi-Camera Tracker
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning
Publisher: ACM
Date: 26-10-2023
Thermal spatio-temporal data for stress recognition
Publisher: Springer Science and Business Media LLC
Date: 04-06-2014
Hierarchical Adversarial Network for Human Pose Estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Exploring Eye Activity as an Indication of Emotional States Using an Eye-Tracking Sensor
Publisher: Springer International Publishing
Date: 2014
Multi-level action detection via learning latent structure
Publisher: IEEE
Date: 09-2015
Regression Based Pose Estimation with Automatic Occlusion Detection and Rectification
Publisher: IEEE
Date: 07-2012
A multimodal system to characterise melancholia: cascaded bag of words approach
Publisher: ACM
Date: 03-11-2017
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
Publisher: IEEE
Date: 11-2011
Enhanced laplacian group sparse learning with lifespan outlier rejection for visual tracking
Publisher: Springer International Publishing
Date: 2015
A Hybrid Fuzzy Approach for Human Eye Gaze Pattern Recognition
Publisher: Springer Berlin Heidelberg
Date: 2009
Robust Visual Tracking via Rank-Constrained Sparse Learning
Publisher: IEEE
Date: 11-2014
Visual Vehicle Egomotion Estimation using the Fourier-Mellin Transform
Publisher: IEEE
Date: 06-2007
Novel Artificial Tears Containing Cross-Linked Hyaluronic Acid: An In Vitro Re-Epithelialization Study
Publisher: MDPI AG
Date: 30-11-2017
Noisy audio feature enhancement using audio-visual speech data
Publisher: IEEE
Date: 05-2002
Automatic Group Happiness Intensity Analysis
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Deeply Supervised Discriminative Learning for Adversarial Defense
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Head Pose and Movement Analysis as an Indicator of Depression
Publisher: IEEE
Date: 09-2013
DOI: 10.1109/ACII.2013.53
Sway Risk Analysis Based on Age Group Classification.
Publisher: IEEE
Date: 07-2019
Analyzing Group-Level Emotion with Global Alignment Kernel based Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Eye movement analysis for depression detection
Publisher: IEEE
Date: 09-2013
Design and analysis of a multi-DOF compliant gait rehabilitation robot
Publisher: Informa UK Limited
Date: 25-05-2023
Facial Expression Based Automatic Album Creation
Publisher: Springer Berlin Heidelberg
Date: 2010
Automatic Prediction of Perceived Traits Using Visual Cues under Varied Situational Context
Publisher: IEEE
Date: 08-2014
Emotion Recognition In The Wild Challenge 2014
Publisher: ACM
Date: 12-11-2014
A Freely Configurable, Multi-modal Sensor System for Affective Computing
Publisher: Springer Berlin Heidelberg
Date: 2004
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
Publisher: IEEE
Date: 10-2019
Biologically Inspired Contrast Enhancement Using Asymmetric Gain Control
Publisher: IEEE
Date: 2009
Extending Long Short-Term Memory for Multi-View Structured Learning
Publisher: Springer International Publishing
Date: 2016
Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network
Publisher: Springer International Publishing
Date: 2020
Estimation of Missing Human Body Parts via Bidirectional LSTM
Publisher: IEEE
Date: 05-2019
Emotion recognition in the wild
Publisher: Springer Science and Business Media LLC
Date: 03-03-2016
A Multilevel Fusion Approach for Audiovisual Emotion Recognition
Publisher: Wiley
Date: 02-01-2008
Evaluating and Validating Emotion Elicitation Using English and Arabic Movie Clips on a Saudi Sample
Publisher: MDPI AG
Date: 14-05-2019
DOI: 10.3390/S19102218
Abstract: With the advancement of technology in both hardware and software, estimating human affective states has become possible. Currently, movie clips are used as they are a widely-accepted method of eliciting emotions in a replicable way. However, cultural differences might influence the effectiveness of some video clips to elicit the target emotions. In this paper, we describe several sensors and techniques to measure, validate and investigate the relationship between cultural acceptance and eliciting universal expressions of affect using movie clips. For emotion elicitation, a standardised list of English language clips, as well as an initial set of Arabic video clips are used for comparison. For validation, bio-signal devices to measure physiological and behavioural responses associated with emotional stimuli are used. Physiological and behavioural responses are measured from 29 subjects of Arabic background while watching the selected clips. For the six emotions’ classification, a multiclass SVM (six-class) classifier using the physiological and behavioural measures as input results in a higher recognition rate for elicited emotions from Arabic video clips (avg. 60%) compared to the English video clips (avg. 52%). These results might reflect that using video clips from the subjects’ culture is more likely to elicit the target emotions. Besides measuring the physiological and behavioural responses, an online survey was carried out to evaluate the effectiveness of the selected video clips in eliciting the target emotions. The online survey, having on average 220 respondents for each clip, supported the findings.
Dimensionality reduction of Fisher vectors for human action recognition
Publisher: Institution of Engineering and Technology (IET)
Date: 26-02-2016
Towards Detection and Tracking of On-Road Objects
Publisher: IEEE
Date: 06-2007
Ordered trajectories for human action recognition with large number of classes
Publisher: Elsevier BV
Date: 10-2015
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View Funded ActivityLinkage Projects - Grant ID: LP160100910
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View Funded ActivityDiscovery Projects - Grant ID: DP110103767
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Amount: $240,000.00
Funder: Australian Research Council
View Funded ActivitySpecial Research Initiatives - Grant ID: SR0567319
Start Date: 10-2005
End Date: 08-2007
Amount: $145,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE100100211
Start Date: 07-2010
End Date: 06-2015
Amount: $650,000.00
Funder: Australian Research Council
View Funded ActivityLinkage Infrastructure, Equipment And Facilities - Grant ID: LE160100002
Start Date: 05-2017
End Date: 12-2018
Amount: $1,040,000.00
Funder: Australian Research Council
View Funded Activity