posted by organizer: damarobe || 26840 views || tracked by 25 users: [display]

PACMA 2017 : Physiological and Affective Computing: Methods and Applications

FacebookTwitterLinkedInGoogle

Link: http://www.iccsa.org/
 
When Jul 3, 2017 - Jul 6, 2017
Where Trieste, Italy
Submission Deadline Mar 15, 2017
Notification Due Apr 28, 2017
Final Version Due May 15, 2017
Categories    artificial intelligence   HCI   data mining   machine learning
 

Call For Papers

Workshop on Physiological and Affective Computing: Methods and Applications (PACMA‘2018) will be held at the 18th International Conference on Computational Science and Applications (ICCSA 2018) July 2 - 5, 2018 in Melbourne, Australia. ICCSA 2018 is the next event in a series of highly successful conferences previously held in Trieste, Italy (2017), Beijing, China (2016), Banff, Canada (2015), Guimaraes, Portugal (2014), Ho Chi Minh City, Vietnam (2013) and Salvador de Bahia, Brazil (2012).

SCOPE

Physiological interaction goes beyond the physical interfaces that a computer has, to use bioelectrical, biomechanical, biochemical or biophysical signals of a human body, captured by hardware sensors, for novel advanced forms of human-computer interaction. A closely related concept is Affective computing, study and development of systems and devices that can recognize, interpret, process, and simulate human affects. Physiological and Affective Computing research combines engineering and computer science with psychology, cognitive science, neuroscience, computational intelligence, and more.

TOPICS

Include, but are not limited to:
- Multimodal user interfaces
- Assisted Living Environments
- Advanced driver assistance systems
- Computational Intelligence methods
- Brain Computer Interface
- Gaze and gesture tracking
- Sentiment analysis
- Affect based control
- Speech, gait and facial affect recognition
- Human biometrics for IT security
- Applications for Robotics, interactive learning, gaming, virtual reality, smart environments, healthcare, assistive living, industrial automation, etc.
- Applications of neurocomputing-based methods for disaster management, circular economy, smart cities and smart grids
- Applications in Ambient Assisted Living and in Industry 4.0

PUBLICATION

Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Accepted papers will appear in the conference proceedings to be published by Lecture Notes in Computer Science (LNCS) (edited by Springer).
Submission: http://ess.iccsa.org/cgi-bin/login.py

The extended versions of the best papers accepted and presented at this workshop will be invited for publication in a Special Issue of Information Technology and Control journal (http://www.itc.ktu.lt) indexed by Clarivate Analytics Web of Science (IF = 0.475).

ORGANIZERS

Robertas Damasevicius (Kaunas University of Technology, Lithuania)
Victor Hugo C. de Albuquerque(Universidade de Fortaleza, Brazil)
Wei Wei (Xi’an University of Technology, China)

CONFERENCE CONTACTS

Web site: http://www.iccsa.org/

Related Resources

SOCO 2022   17th International Conference on Soft Computing Models in Industrial and Environmental Applications
DIS 2022   Designing Interactive Systems
EvoCompAISecurity&Privacy 2022   Evolutionary Computing for AI-Driven Security and Privacy: Advancing the state-of-the-art applications
IJITE 2022   International Journal on Integrating Technology in Education
ISIR-eCom 2022   INTERACTIVE AND SCALABLE INFORMATION RETRIEVAL METHODS FOR ECOMMERCE ((conjunction with WSDM 2022)
IDT 2022   14th International Conference on Intelligent Decision Technologies
A2IA 2022   2nd International Conference on Artificial Intelligence and Industrial Applications
SEEL 2022   9th International Conference on Smart Education and E-Learning
ABDAI 2022   2022 4th International Conference on Applications of Big Data and Artificial Intelligence(ABDAI 2022)
MDPI computers 2022   MDPI computers Special Issue on GPU based Applications in Machine Learning - Open for submission