natural & artificial Interaction Systems

natural & artificial Interaction Systems

 

You are at: Presentation >

natural & artificial Interaction Systems (n&aIS)

Presentation

 

The natural & artificial Interaction Systems (n&aIS) group studies natural and artificial methodologies to create autonomous interaction systems that perceive from their environment through sensors and use that information to generate an intelligent behaviour.

Prior to 2000, the research undertaken in the n&aIS team originates within the lines of work and research history of the research grupo Intelligent Systems: Modeling, Development and Applications (SIMDA) of the National Distance Education University, led by Prof. José Mira Mira.

Since 2000 the research activity is developed at the Laboratory of User Interaction and Software Engineering (LoUISE), constituted on that date in the Departamento de Informática (now Departamento de Sistemas Informáticos) and linked to the Albacete Research Institute of Informatics (I3A) belonging to the Universidad de Castilla-La Mancha.

In 2003 the LoUISE laboratory diversified into several sections. One of these sections takes the name of natural & artificial Interaction Systems (n&aIS). In this group, we have maintained the initial lines of research, but we have advanced through adding new interests or adapting the research lines to current trends.

Following are the most important areas of interest of the n&aIS group:

Areas of interest (according to the Association for Computing Machinery 1998 classification system):

 

D. SOFTWARE

 

D.2 SOFTWARE ENGINEERING

 

D.2.2 Design Tools and Techniques [ User interfaces ]

 

F. THEORY OF COMPUTATION

 

F.1 COMPUTATION BY ABSTRACT DEVICES

 

F.1.1 Models of Computation [ Automata (e.g., finite, push-down, resource-bounded); Self-modifying machines (e.g., neural networks) ]

 

I. COMPUTING METHODOLOGIES

 

I.2 ARTIFICIAL INTELLIGENCE

 

I.2.1 Applications and Expert Systems [ Industrial automation; Medicine and science ]

 

I.2.8 Problem Solving, Control Methods, and Search [ Control theory ]

 

I.2.9 Robotics [ Autonomous vehicles; Kinematics and dynamics; Sensors ]

 

I.2.10 Vision and Scene Understanding [ 3D/stereo scene analysis; Intensity, color, photometry, and thresholding; Motion; Representations, data structures, and transforms; Shape; Video analysis ]

 

I.2.11 Distributed Artificial Intelligence [ Intelligent agents; Multiagent systems ]

 

I.4 IMAGE PROCESSING AND COMPUTER VISION

 

I.4.6 Segmentation [ Edge and feature detection; Pixel classification; Region growing, partitioning ]

 

I.4.7 Feature Measurement [ Feature representation; Size and shape ]

 

I.4.8 Scene Analysis [ Color; Depth cues; Motion; Object recognition; Shape; Stereo; Time-varying imagery; Tracking ]

 

I.4.9 Applications

 

I.5 PATTERN RECOGNITION

 

I.5.4 Applications [ Computer vision ]

 

J. COMPUTER APPLICATIONS

 

J.2 PHYSICAL SCIENCES AND ENGINEERING

 

Aerospace; Electronics; Engineering; Mathematics and statistics; Physics

 

J.3 LIFE AND MEDICAL SCIENCES

 

Health; Medical information systems

 

J.4 SOCIAL AND BEHAVIORAL SCIENCES

 

Psychology


Areas of interest (according to the Keith Price Bibliography classification):

 

18 Motion Analysis - Low-Level, Image Level Analysis

 

18.3 Image Differencing, Motion Segmentation and Filtering Techniques

18.3.1 Motion Segmentation Techniques

 

18.6 Spatio-Temporal Analysis - Many Frames

18.6.2 General Spatio-Temporal Analysis


 

NEWS

 

Special Issue on Cognitively-inspired Computing for Gerontechnology in Cognitive Computation journal.

 

Special Issue onGerontechnologies: Current Achievements and Future Trends in Expert Systems journal.