Perception modeling for human-like artificial sensor systems

• In this article we present an approach to the design of human-like artificial systems. It uses a perception model to describe how sensory information is processed for a particular task and to correlate human and artificial perception. Since human-like sensors share their principle of operation with natural systems, their response can be interpreted in an intuitive way. Therefore, such sensors allow for easier and more natural human–machine interaction. The approach is demonstrated in two applications. The first is an “electronic tongue”, which performs quality assessment of food and water. In the second application we describe the development of an artificial hand for dexterous manipulation. We show that human-like functionality can be achieved even if the structure of the system is not completely biologically inspired.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Artificial perceptual systems

Artificial hand

Electronic tongue

Human-based sensors

Passive perception

Active perception

Dexterous manipulation

TECHNOLOGY

TEKNIKVETENSKAP

Information technology

Informationsteknik

Computer and Systems Science

Data- och systemvetenskap

Publication and Content Type

ref (subject category)

art (subject category)