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Warnsis ii : A warning signal identification system for the hard of hearing Dotto, Kim
Abstract
Having examined a number of common warning signals such a telephone rings, microwave oven alarms and continuous tone alarms, a software method, eliminating the need for specialized hardware, was developed for both recognizing known warning signals and learning new signals. The method, called WARNSIS II was first implemented on a PC-compatible computer using a Creative Labs signal acquisition board which provided a base for graphical signal analysis and for the development of algorithms. The algorithms were also implemented on the Texas Instruments TMS320C30 Evaluation Module (EVM) digital signal processing board to demonstrate that the algorithms can be easily ported to smaller, more cost effective platforms. The WARNSIS II system operates in two modes: learning and recognition. In the learning mode a template for a signal is constructed by analysing the signal for spectral and temporal information. The frequency at which the maximum peak in the signal's spectral energy occurs is determined and this value is saved in a template. The duration of the signal burst, as well as the interval time between signal bursts for repetitive signals, are determined and are also saved in the template. In the recognition mode, the spectrum of the incoming real-time signal is analysed to determine if any of its spectral components match those found in the template. If a match is found, timing information is then applied to rule out transients which would generate false alarms The system has demonstrated the ability to recognize warning signals in high background noise environments and to correctly identify multiple overlapping warning signals.
Item Metadata
Title |
Warnsis ii : A warning signal identification system for the hard of hearing
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
1995
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Description |
Having examined a number of common warning signals such a telephone rings, microwave
oven alarms and continuous tone alarms, a software method, eliminating the need for
specialized hardware, was developed for both recognizing known warning signals and learning
new signals. The method, called WARNSIS II was first implemented on a PC-compatible
computer using a Creative Labs signal acquisition board which provided a base for graphical
signal analysis and for the development of algorithms. The algorithms were also implemented
on the Texas Instruments TMS320C30 Evaluation Module (EVM) digital signal processing
board to demonstrate that the algorithms can be easily ported to smaller, more cost effective
platforms.
The WARNSIS II system operates in two modes: learning and recognition. In the learning
mode a template for a signal is constructed by analysing the signal for spectral and temporal
information. The frequency at which the maximum peak in the signal's spectral energy occurs
is determined and this value is saved in a template. The duration of the signal burst, as well as
the interval time between signal bursts for repetitive signals, are determined and are also saved
in the template. In the recognition mode, the spectrum of the incoming real-time signal is
analysed to determine if any of its spectral components match those found in the template. If
a match is found, timing information is then applied to rule out transients which would
generate false alarms
The system has demonstrated the ability to recognize warning signals in high background noise
environments and to correctly identify multiple overlapping warning signals.
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Extent |
6205147 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-01-14
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0064798
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
1995-05
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.