FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness
People often face risk-prone situations, that range from a mild event to a severe, life-threatening scenario. Risk situations stem from a number of different scenarios: a health condition, a hazard situation due to a natural disaster, a dangerous situation because one is being subject to a crime or...
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| Veröffentlicht in: | IEEE transactions on affective computing 2018-07, Vol.9 (3), p.372-382 |
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| container_title | IEEE transactions on affective computing |
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| creator | Lopez-Cuevas, Armando Medina-Perez, Miguel Angel Monroy, Raul Ramirez-Marquez, Jose Emmanuel Trejo, Luis A. |
| description | People often face risk-prone situations, that range from a mild event to a severe, life-threatening scenario. Risk situations stem from a number of different scenarios: a health condition, a hazard situation due to a natural disaster, a dangerous situation because one is being subject to a crime or physical violence, among others. The lack of a prompt response, calling for assistance, may severely worsen the consequences. In this paper, we propose a novel visualisation method to track and to identify, in real-time, when a person is under a risk-prone situation. Our visualisation model is capable of providing a decision maker a visual description of the physiological behaviour of an individual, or a group thereof; through it, the decision maker may infer whether further assistance is required, if a risky situation is in progress. Our visualisation is leveraged with a traffic light model of a one-class classifier. This combination allows us to train the decision maker into visualising correct and potential risky or abnormal behaviour. |
| doi_str_mv | 10.1109/TAFFC.2017.2741478 |
| format | Article |
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| ispartof | IEEE transactions on affective computing, 2018-07, Vol.9 (3), p.372-382 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Biomedical monitoring Crime Data visualization Decision making IoT machine learning Monitoring one-class classification Personal risk detection Real time Real-time systems Risk Situational awareness Traffic models Traffic signals Violence visualisation Visualization Wearable sensors |
| title | FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness |
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