DangerDet：利用深度学习为妇女和儿童提供基于移动应用的危险检测平台

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-26 DOI:10.1016/j.softx.2024.101983

Md. Ashikuzzaman, Abdul Aziz, Awal Ahmed Fime

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引用次数: 0

摘要

近年来，移动技术的使用在全球范围内急剧增长。因此，人们在尝试有效应用危险检测功能时遇到了困难。因此，本研究的目的是创建一个安卓移动应用程序，以帮助妇女和儿童检测危险。该应用程序记录用户周围的环境，并使用深度学习模型对音频进行分类，以检测声音是正常的还是受惊的。当识别到不利事件时，安卓应用程序还会启动适当的步骤，以避免进一步的剥夺。安卓设备的用户可以免费使用这款应用程序，为确保妇女和儿童的安全打开一扇大门。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DangerDet: A mobile application-based danger detection platform for women and children using deep learning

The use of mobile technology has grown dramatically on a global scale in recent years. As a result, people have difficulties when attempting to apply danger detection features efficiently. Thus, the purpose of this research is to create an Android mobile application that will facilitate the detection of danger for women and children. The application records the surroundings of the users and classifies the audio using deep-learning models to detect the voice, whether it is a normal, or frightened voice. When an adverse incident is identified, the Android application additionally initiates the proper steps to avoid further deprivation. Users of Android devices can use this application for free, opening the door to ensuring women’s and children’s safety.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.