Pain and related emotions are difficult to measure in patients with restricted communicative abilities and even in people that can communicate their sensations it is unfeasible to continuously ask them to report those sensations in order to personalize their therapy. This workshop aims to bring together researchers working in the area of recognition, treatment and management of pain and related emotional states.
The workshop is comprised of two parts. The first part invites research submissions covering various topics related to technology for pain management. The second part invites researchers to participate in the EmoPain challenge to foster research in the automatic recognition of pain-related multimodal behaviour in people suffering from chronic pain. The workshop will feature two invited speakers and will end the proceedings with an interdisciplinary panel to complement the presentations and further contribute to set a route map for designing effective technology for the management of pain and related states.
We invite submissions of research papers that consider to this topic and address the following aspects (but not limited to):
The EmoPain challenge aims to foster research in the area of pain and related emotion recognition using the EmoPain dataset. More information on the challenge and how to participate are at :
EmoPain Challenge 2019
Papers should be submitted through
EasyChair
.
Papers should be up to 7 pages (6 pages + 1 page for references)
in
ACII paper format
.
The reviewing process will be double-blind.
University of Ulm
University College London
University College London
Massachusetts Institute of Technology
Brunel University London
University of East Anglia
University of Nottingham
University of Oxford
Massachusetts Institute of Technology
University College London
University College London
University of Nottingham
Zakia Hammal, Carnegie Mellon University, USA
Raimondo, Schettini, University of Milan, Italy
Abhinav Dhall, Indian Institute of Technology, India
Giacomo Turri, Instituto Italiano di Tecnologia, Italy
Tong Chen, Southwest University, China
Raimondo, Schettini, University of Milan, Italy
Moi Hoon Yap, Manchester Metropolitan University, UK
Maurizio Mancini, University College Cork, Ireland
Huibin Li, Xi’an Jiaotong University, China
Paolo Napoletano, University of Milano, Italy
Massimiliano Pontil, Istituto Italiano di Tecnologia, Italy
Radek Niewiadomski, University of Genoa, Italy
Luca Romeo, Universita delle Marche, Italy
Gualtiero Volpe, University of Genoa, Italy
Bernardino Romera Paredes, Google DeepMind, UK
University of Ulm
Title: State of the art in multimodal sensors and automatic detection of pain