{"title":"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","authors":"Md. Ashikuzzaman, Abdul Aziz, Awal Ahmed Fime","doi":"10.1016/j.softx.2024.101983","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101983"},"PeriodicalIF":2.4000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DangerDet: A mobile application-based danger detection platform for women and children using deep learning\",\"authors\":\"Md. Ashikuzzaman, Abdul Aziz, Awal Ahmed Fime\",\"doi\":\"10.1016/j.softx.2024.101983\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":21905,\"journal\":{\"name\":\"SoftwareX\",\"volume\":\"29 \",\"pages\":\"Article 101983\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SoftwareX\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352711024003534\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711024003534","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
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.
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.
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