Federated Learning for Physical Violence Detection in Videos

Silva, Victor E. De S.; Lacerda, Tiago B.; Miranda, Péricles; Nascimento, André; Furtado, Ana Paula

doi:10.1109/ijcnn55064.2022.9892150

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Victor et al [37] discussed a rise in domestic abuse due to the COVID-19 pandemic, and presented a method based on the federated learning for detection of violence within videos. They created client-server networks and uploaded the training data into a main model, which aggregates and updates the model before distributing it to client nodes.…”

Section: And Andmentioning

confidence: 99%

Technological Innovations for Tackling Domestic Violence

Kouzani

2023

IEEE Access

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Domestic violence is an issue of great importance that transcends socioeconomic backgrounds and cultural boundaries. It stems from factors such as power struggle, mental health issue, financial hardship, substance abuse, among others. Technology can play a vital role in not only detecting and mitigating instances of domestic violence, but also providing essential support and resources to its victims. This review paper examines the latest technological innovations in tackling domestic violence. It describes a range of technology platforms and tools, and discusses their capabilities and shortcomings. Firstly, the review methodology is given including aims and objectives of the review, search strategy, and selection of sources. Next, technological innovations in the context of domestic violence are defined. Then, the paper presents technological approaches developed to tackle domestic violence through: (i) analysis of data shared through digital platforms is presented, (ii) analysis of data captured by ambient sensors, (iii) analysis of data captured by smartphones, (iv) analysis of data captured by wearable sensors, (v) protecting online activities, (vi) preventing non-contact harassment, (vii) anti-stalking and monitoring measures, and (viii) virtual reality approaches. Next, discussions on the capabilities and applications of these technological innovations across different aspects of domestic violence are presented. The paper also addresses the challenges and limitations associated with these innovations, and gives future directions and recommendations for further research and development.

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Section: And Andmentioning

confidence: 99%