Using Wearable Computers to Construct Semantic Representations of Physical Spaces

Abstract

The representation of physical space has traditionally focused on keyphrases such as "Computer Science Building" or "Physics Department" that help us in describing and navigating physical spaces. However, such keyphrases do not capture many properties of physical space. As with the assignment of a keywork to describe a piece of text, these constructs sacrifice meaningful information for abstraction. We propose a system of spatial representation based on richer, emergent language models that encode information lost in keyphrase approaches. We use a mix of wearable and ubiquitous computing environments for the construction of these models. Wearable computers infer language models of their hosts. These language models then act as semantic paint over spaces in a ubiquitous computing environment. Spaces collect this information and construct representations based on interactions with augmented humans. A prototype navigation system based on this theory is presented and compared to traditional representations.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA439417

Entities

People

  • Fernando Diaz

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Computer Science
  • Computers
  • Construction
  • Environment
  • Filtration
  • Information Retrieval
  • Language
  • Machine Learning
  • Models
  • Probability
  • Semantic Models
  • Wearable Computers
  • Wearable Technology
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Exercise and Sports Science.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • Space