SafeFollowing: A collaborative model for public security agents to assist people with disabilities and the elderly

C. M. Matos, V. Matter, F. Viegas, M. G. Martins, João Tavares, J. Barbosa
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Abstract

In the last survey about the Brazilian population conducted by IBGE, more than 45.6 million of Brazilians declared that they have some kind of disability. Besides that, the same survey revealed that the number of elderly people has been increasing over the years and at that time it already represented 12.1 \% of the total. In this scenario, public policies that can efficiently ensure the rights of this share of the population became even more necessary. In the same manner, with the popularization of mobile devices, opportunities to develop new solutions are arising, offering more independence and quality of life to them. Ubiquitous accessibility support solutions have been proposed, such as the MASC model, which resorts to the concept of smart assistive city; and more recently the AccompCare, which predicts the monitoring of people with disabilities and the elderly. This article proposes the SafeFollowing, a model that enables integrated and collaborative acting of the community aiming to assist people with some kind of disability or elderly people. The SafeFollowing predicts the use of police cars mapping, in order to provide a specific follow-up in adverse daily situations. The validation of the model is also presented in the article, which was performed through experiments in real test scenarios.
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SafeFollowing:公共安全人员协助残疾人和老年人的协作模式
在IBGE进行的关于巴西人口的最新调查中,超过4560万巴西人声称他们有某种残疾。此外,同一项调查显示,老年人的数量近年来一直在增加,当时已占总数的12.1%。在这种情况下,能够有效确保这部分人口权利的公共政策变得更加必要。同样,随着移动设备的普及,开发新解决方案的机会也在增加,为他们提供了更多的独立性和生活质量。无所不在的可达性支持解决方案已被提出,如利用智慧辅助城市概念的MASC模型;以及最近的AccompCare,它预测了对残疾人和老年人的监测。这篇文章提出了SafeFollowing,这是一个模型,它使社区的整合和协作行动旨在帮助有某种残疾的人或老年人。SafeFollowing预测使用警车地图,以便在不利的日常情况下提供具体的后续行动。本文还对模型进行了验证,并在实际测试场景中进行了实验验证。
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