Enhanced Approach Using Reduced SBTFD Features and Modified Individual Behavior Estimation for Crowd Condition Prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015728" target="_blank" >RIV/62690094:18450/19:50015728 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1099-4300/21/5/487" target="_blank" >https://www.mdpi.com/1099-4300/21/5/487</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/e21050487" target="_blank" >10.3390/e21050487</a>
Alternative languages
Result language
angličtina
Original language name
Enhanced Approach Using Reduced SBTFD Features and Modified Individual Behavior Estimation for Crowd Condition Prediction
Original language description
Sensor technology provides the real-time monitoring of data in several scenarios that contribute to the improved security of life and property. Crowd condition monitoring is an area that has benefited from this. The basic context-aware framework (BCF) uses activity recognition based on emerging intelligent technology and is among the best that has been proposed for this purpose. However, accuracy is low, and the false negative rate (FNR) remains high. Thus, the need for an enhanced framework that offers reduced FNR and higher accuracy becomes necessary. This article reports our work on the development of an enhanced context-aware framework (EHCAF) using smartphone participatory sensing for crowd monitoring, dimensionality reduction of statistical-based time-frequency domain (SBTFD) features, and enhanced individual behavior estimation (IBEenhcaf). The experimental results achieved 99.1% accuracy and an FNR of 2.8%, showing a clear improvement over the 92.0% accuracy, and an FNR of 31.3% of the BCF.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ENTROPY
ISSN
1099-4300
e-ISSN
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Volume of the periodical
21
Issue of the periodical within the volume
5
Country of publishing house
CH - SWITZERLAND
Number of pages
27
Pages from-to
"Article Number: 487"
UT code for WoS article
000472675900051
EID of the result in the Scopus database
2-s2.0-85066614896