Announcements

- Poster Submission Deadline
   March 26, 2017 [Extended]
- Doctoral Consortium
   Applications due
   March 31, 2017 [Extended]
- Workshops Submission
  Deadline March317 & 24, 2017
- Registration Deadline:
   March 31, 2017

Registration

- Conference Registration
- Hotel Reservation

Contact

- Email petrae@uta.edu


5. (NOTION) Human Behaviour Monitoring, Interpretation and Understanding

Submission Guidelines & Important Dates

  • Paper Submission: March 17th, 2017 [Extended]
  • Paper Notification: March 24th, 2017 [Extended]
  • Camera-Ready Paper: March 31st, 2017
  • Registration Deadline: March 31st, 2017 See Registration Page

Paper submissions should follow PETRA'17 general guidelines found at www.petrae.org/submissions.html

Organizers

  • Prof. Ahmad Lotfi

    School of Science and Technology
    Nottingham Trent University, Nottingham, United Kingdom
    E-mail: ahmad.lotfi@ntu.ac.uk

  • Dr. Caroline Langensiepen

    School of Science and Technology
    Nottingham Trent University, Nottingham, United Kingdom
    E-mail: caroline.langensiepen@ntu.ac.uk

  • Dr. Diego Resende Faria

    School of Engineering and Applied Science
    Aston University, Birmingham, United Kingdom
    E-mail: d.faria@aston.ac.uk

Abstract

The health care systems in Europe and the most developed countries in the world are faced with challenging transition processes due to demographic change. The increase of the elderly population and the expectation of life brings about serious risks, with some profound socio and economic impact on our societies. To reduce the burden of social care, integration of existing unobtrusive, easy-to-use and transparent monitoring systems are proven to be an acceptable solution by the elderly and their careers. The ultimate goal of research is to replace the carer with a virtual intelligent carer capable of interpretation and understanding of their activities.

Many technological advances in monitoring systems are developed. Ambient Intelligence have been adopted as a term referring to environments that are sensitive and responsive to the presence of people and it is a candidate to become the next wave of computing. Indeed, this novel computing approach is aimed to extend ubiquitous vision by incorporating intrinsic intelligence in pervasive systems. This idea enables the study, design and development of embodiments for smart environments that not only react to human events through sensing, interpretation and service provision, but also learn and adapt their operation and services to the users over time. These embodiments employ contextual information when available, and offer unobtrusive and intuitive interfaces to their users.

The aim of this workshop is to encompass valuable research and achievement in the monitoring, interpretation and understanding of human behaviour through smart technologies. There are many readily available monitoring systems to monitor people in their own home environment. However, there are challenges ahead with respect to interpretation and understanding of the sensory data and linked that with the actual activity representing a specific behaviour.

List of Topics

Topics of interest include, but are not limited to:

  • Ambient assisted living
  • Activity and action recognition
  • Affective computing
  • Ambient intelligence for healthcare
  • Ambient intelligence services
  • Behaviour analysis for alerts
  • Behavioural grouping
  • Benchmarking, databases and simulation tools
  • Context-awareness and semantic modelling
  • Emotion recognition
  • Fall detection
  • Human behavioural analysis
  • Hybrid intelligent systems for ubiquitous computing
  • Intelligent Living Environments
  • Mobile social networks
  • Semantic analysis
  • Sensing and reasoning technology
  • Sensing technologies and measurements
  • Signal fusion in ubiquitous environments
  • Smart coaching systems
  • Smart homes
  • Social sensor networks applications for cognitive and physical health
  • Social activity recognition
  • User mobility modelling and location tracking
  • User-centric computing
  • Video-based human behaviour understanding
  • Vision-based system
  • Wireless sensor network applications

Goals

The workshop aims to attract researchers who are involved in research related to human activities monitoring and recognition. The participants will have the opportunity to present their research and discuss with fellow researchers the state of the art solutions. Novel and innovative contribution relate to the topics of the workshop mentions above are welcomed.