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Anwar, A. 
ORCID: 0000-0001-5347-4996 and Kanjo, E. ORCID: 0000-0002-1720-0661,
2023.
tinyML for crime prevention: detecting violent conversations.
Nottingham: Nottingham Trent University.
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Abstract
Our work focuses on using tinyML for detecting violent language on edge devices, such as mobile phones and wearables, in the context of preventing domestic violence. Our multimodal algorithm uses natural language processing (NLP) and audio processing to detect violent conversation from short audio-text segments. The algorithm is converted to a tinyML model using TensorFlow Lite, which enables the detection to run on edge devices such as mobile phones and smart home sensors. Our mobile application enables near-real-time detection of violent conversations to enable victims or potential victims to detect and report crimes to close or trust contacts.
| Item Type: | Working paper | ||||
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| Creators: | Anwar, A. and Kanjo, E. | ||||
| Publisher: | Nottingham Trent University | ||||
| Place of Publication: | Nottingham | ||||
| Date: | 25 June 2023 | ||||
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| Divisions: | Schools > School of Science and Technology | ||||
| Record created by: | Jonathan Gallacher | ||||
| Date Added: | 29 Aug 2023 15:50 | ||||
| Last Modified: | 29 Aug 2023 15:50 | ||||
| URI: | https://irep.ntu.ac.uk/id/eprint/49623 |
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