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- W4385435498 abstract "Violence against women is a contemplating problem beleaguering the world today. This research and consequent product development was an endeavour to develop an effective self-defence gadget that would not only provide a sense of protection to the women in case of any assault or unsolicited contact but would also be “smart” enough to distinguish between a typical normal physical action and violent attack on a victim and will be able to verify its validity. This paper emphasises a methodology for the identification of different violent attacks on a woman in various situations via the proposed trained machine learning model. Once the jacket realises a dangerous situation, then the protective jacket worn by the woman gets activated. Various sensors are strategically placed within the jacket. The implementation of design for sensor assembly and development of this gadget led to enormous benefits including great support for women empowerment, reduction of molestation attacks, and improvement of women’s safety and security. The placement of electronic sensors, pre-processing of data, and deployment of machine learning models for identification of various physical activities of the woman are the primary aspects that explain activity recognition done in this work. The jacket also helps in notifying the woman’s saved contacts and can also help alert nearby police station(s). This product will also facilitate women to gather evidence (audio and video), so that if she/they ever want to pursue the case in court in the future, she/they can do so. This evidence is pushed onto a cloud-based or a local host system, which is then connected with the user interface model. This proposed work can provide insight into the effective, comfortable, deceptive, unobtrusive, and economical self-defence gadget for women." @default.
- W4385435498 created "2023-08-01" @default.
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- W4385435498 date "2023-01-01" @default.
- W4385435498 modified "2023-09-27" @default.
- W4385435498 title "Self-defence Gadget for Women: Design and Development" @default.
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- W4385435498 doi "https://doi.org/10.1007/978-981-99-0264-4_3" @default.
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