Multidivisional graduate education program in sensory engineering

John Sadowsky, Robert W Massof

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sensory engineering is defined to be the science and technology of synthetic environments. This exciting and emerging discipline incorporates such technologies as virtual environments and virtual reality, data visualization, human sensory system modeling, human-machine interface, and perception, cognition and performance characterization. An educational curriculum requires basic science in the fields of computer science, electrical engineering, psychology, physiology, the biomedical sciences, and mathematics. We present the plan for a multidivisional graduate education program in sensory engineering, currently being developed at the Johns Hopkins University, within the Schools of Arts and Sciences, Engineering, Medicine, and the Applied Physics Laboratory.

Original languageEnglish (US)
Title of host publicationConference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PublisherIEEE Computer Society
Pages1325-1329
Number of pages5
ISBN (Electronic)0818664053
DOIs
Publication statusPublished - Jan 1 1994
Event28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States
Duration: Oct 31 1994Nov 2 1994

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
ISSN (Print)1058-6393

Conference

Conference28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
CountryUnited States
CityPacific Grove
Period10/31/9411/2/94

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ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Sadowsky, J., & Massof, R. W. (1994). Multidivisional graduate education program in sensory engineering. In Conference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 (pp. 1325-1329). [471673] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ACSSC.1994.471673