Novel Hand Gesture Alert System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015778" target="_blank" >RIV/62690094:18450/19:50015778 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/9/16/3419" target="_blank" >https://www.mdpi.com/2076-3417/9/16/3419</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app9163419" target="_blank" >10.3390/app9163419</a>
Alternative languages
Result language
angličtina
Original language name
Novel Hand Gesture Alert System
Original language description
Sexual assault can cause great societal damage, with negative socio-economic, mental, sexual, physical and reproductive consequences. According to the Eurostat, the number of crimes increased in the European Union between 2008 and 2016. However, despite the increase in security tools such as cameras, it is usually difficult to know if an individual is subject to an assault based on his or her posture. Hand gestures are seen by many as the natural means of nonverbal communication when interacting with a computer, and a considerable amount of research has been performed. In addition, the identifiable hand placement characteristics provided by modern inexpensive commercial depth cameras can be used in a variety of gesture recognition-based systems, particularly for human-machine interactions. This paper introduces a novel gesture alert system that uses a combination of Convolution Neural Networks (CNNs). The overall system can be subdivided into three main parts: firstly, the human detection in the image using a pretrained You Only Look Once (YOLO) method, which extracts the related bounding boxes containing his/her hands; secondly, the gesture detection/classification stage, which processes the bounding box images; and thirdly, we introduced a module called counterGesture, which triggers the alert.
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
<a href="/en/project/EF18_069%2F0010054" target="_blank" >EF18_069/0010054: IT4Neuro(degeneration)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
APPLIED SCIENCES-BASEL
ISSN
2076-3417
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
16
Country of publishing house
CH - SWITZERLAND
Number of pages
17
Pages from-to
"Article Number: 3419"
UT code for WoS article
000484444100213
EID of the result in the Scopus database
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