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Computer Science

D-Index
46
Citations
9377
World Ranking
6810
National Ranking
216

Overview

Roland Goecke is affiliated with the University of New South Wales in Australia and is active in research intersecting engineering, medicine, and psychology. Their body of work spans several subfields, primarily focusing on biomedical engineering, experimental and cognitive psychology, and cognitive neuroscience.

The main topics of Goecke's research include prosthetics and rehabilitation robotics, muscle activation and electromyography studies, emotion and mood recognition, mental health research topics, stroke rehabilitation and recovery, heart rate variability and autonomic control, and non-invasive vital sign monitoring.

Recent publications by Roland Goecke reflect a range of these topics and include:

  • Interpretation of Depression Detection Models via Feature Selection Methods (2020) in IEEE Transactions on Affective Computing
  • Exoskeleton Robots for Lower Limb Assistance: A Review of Materials, Actuation, and Manufacturing Methods (2021) in Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
  • A Systematic Review of Neurophysiological Sensing for the Assessment of Acute Pain (2023) in npj Digital Medicine
  • Deeply Supervised Discriminative Learning for Adversarial Defense (2020) in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Multimodal Physiological Sensing for the Assessment of Acute Pain (2023) in Frontiers in Pain Research

Frequent co-authors collaborating with Goecke include Ramanathan Subramanian, Raul Fernandez Rojas, Shahid Hussain, Prashant K. Jamwal, and Ibrahim Radwan. These collaborations contribute to the interdisciplinary nature of their work, blending aspects of engineering, medicine, and psychological sciences.

The preferred publication venues highlight a mix of venues focusing on mechanical engineering, multimedia interaction, and medical robotics, including:

  • arXiv (Cornell University)
  • Mechanics Based Design of Structures and Machines
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
  • IEEE Transactions on Medical Robotics and Bionics

With a substantial output across engineering, medicine, and psychology, Roland Goecke's work integrates technical, physiological, and cognitive perspectives. Their research contributes to advancing understanding and development in areas such as rehabilitation robotics, sensor-based physiological studies, and affective computing applied to mental health contexts.

Best Publications

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • Collecting Large, Richly Annotated Facial-Expression Databases from Movies

    Abhinav Dhall;R. Goecke;S. Lucey;T. Gedeon

  • Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

    Abhinav Dhall;Roland Goecke;Simon Lucey;Tom Gedeon

  • Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

    Abhinav Dhall;O.V. Ramana Murthy;Roland Goecke;Jyoti Joshi

  • Emotion recognition using PHOG and LPQ features

    Abhinav Dhall;Akshay Asthana;Roland Goecke;Tom Gedeon

  • Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol

    Abhinav Dhall;Roland Goecke;Jyoti Joshi;Karan Sikka

  • Emotion recognition in the wild challenge 2013

    Abhinav Dhall;Roland Goecke;Jyoti Joshi;Michael Wagner

  • From individual to group-level emotion recognition: EmotiW 5.0

    Abhinav Dhall;Roland Goecke;Shreya Ghosh;Jyoti Joshi

  • A Nonlinear Discriminative Approach to AAM Fitting

    J. Saragih;R. Goecke

  • An Investigation of Depressed Speech Detection: Features and Normalization.

    Nicholas Cummins;Julien Epps;Michael Breakspear;Roland Goecke

  • Multimodal assistive technologies for depression diagnosis and monitoring

    Jyoti Joshi;Roland Goecke;Roland Goecke;Sharifa Alghowinem;Abhinav Dhall

  • Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Julien Epps

  • EmotiW 2016: video and group-level emotion recognition challenges

    Abhinav Dhall;Roland Goecke;Jyoti Joshi;Jesse Hoey

  • Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

    Aamir Mustafa;Salman Khan;Munawar Hayat;Roland Goecke

  • Eye movement analysis for depression detection

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Gordon Parker

  • Head Pose and Movement Analysis as an Indicator of Depression

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Gordon Parkerx

  • EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction

    Abhinav Dhall;Amanjot Kaur;Roland Goecke;Tom Gedeon

  • Diagnosis of depression by behavioural signals: a multimodal approach

    Nicholas Cummins;Jyoti Joshi;Abhinav Dhall;Vidhyasaharan Sethu

  • Detecting depression: A comparison between spontaneous and read speech

    Sharifa Alghowinem;Roland Goecke;Michael Wagner;Julien Epps

  • Can body expressions contribute to automatic depression analysis

    Jyoti Joshi;Roland Goecke;Gordon Parker;Michael Breakspear

Frequent Co-Authors

Abhinav Dhall
Abhinav Dhall Monash University
Michael Wagner
Michael Wagner University of Canberra
Julien Epps
Julien Epps University of New South Wales
Michael Breakspear
Michael Breakspear University of Newcastle Australia
Gordon Parker
Gordon Parker University of New South Wales
Munawar Hayat
Munawar Hayat Monash University
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Guoying Zhao
Guoying Zhao University of Oulu
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Alexander Zelinsky
Alexander Zelinsky University of Newcastle Australia

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