ACVR 2014 - Second Workshop on Assistive Computer Vision and Robotics

Assistive technologies provide a set of advanced tools that can improve the quality of life not only for disabled, patients and elderly but also for healthy people struggling with everyday actions. After a period of slow but steady scientific progress, this scientific area seems to be mature for new research and application breakthroughs. The rapid progress in the development of integrated micro-mechatronic and computer vision tools has boosted this process.
In addition, the interest in this research field has further recently increased due to the affordable fallouts of the technologies and methodologies involved in both traditional challenging related problems (such as monitoring of car drivers, behaviors analysis in surveillance contexts, …) and pioneering topics (such as customer behavior analysis, innovative sales strategies,…).
However, many problems remain open especially as regards to environment perception and interaction of these technological tools with people.
The goal of the workshop is then to give an overview of the state of the art of perception and interaction methodologies involved in this area with special attention to aspects related to computer vision and robotics.
In particular, the International Workshop on Computer Vision and Robotics subsidiaries (ACVR) aims to bring together researchers working on problems of robotics and vision related to developing assistive technologies.
Papers are solicited in, but not limited to, the following TOPICS:
Augmented and Alternative Communication
Human - Robot Interaction
Mobility Aids
Rehabilitation Aids
Home Healthcare
Technology for Cognition
Automatic Emotional Hearing and Understanding
Activity Monitoring Systems
Manipulation Aids
Smart Environments
Safety and Security
Quality of Life Technologies
Navigation Systems
Sensory Substitution
Mobile and Wearable Systems
Applications for the Visually Impaired
Applications for the Ageing Society
Datasets and Evaluation Procedures
Personalised Monitoring
Scene Understanding
Life-logging
Video summarization
Visual Attention and Visual Saliency
Egocentric and First-Person Vision