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- W4383616670 abstract "Mobile devices are ubiquitous for users in everyday life, often with individuals throughout their daily routine. The widespread use of mobile devices allows novel technologies to be designed to improve personal security and safety. The research presented in this paper provides additional functionality through pervasive sensors on mobile devices, making use of acoustic recordings and transcriptions to enable violent language detection in near-real time through a user-centred application. The purpose of the application is to provide a tool to improve the safety of individuals who may experience violent conversations. We have developed a mobile application which actively demonstrates applied theoretical practises across both the Tiny Machine Learning and Human-Computer Interaction literature. The application uses the built-in phone speaker and the device’s on-board transcription service, providing an improved capability to correctly detect violent language in conversations through user proximity." @default.
- W4383616670 created "2023-07-09" @default.
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- W4383616670 date "2023-01-01" @default.
- W4383616670 modified "2023-09-25" @default.
- W4383616670 title "User-Centred Detection of Violent Conversations on Mobile Edge Devices" @default.
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- W4383616670 doi "https://doi.org/10.1007/978-3-031-34609-5_25" @default.
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