The ability to localise a smart device is very useful to visually or cognitively impaired people. Localisation-capable technologies are becoming more readily available as off-the-shelf components. In this paper, we highlight the need for such a service in the field of health and autonomy, especially for disabled people. We introduce a model for Semantic Position Description (SPD) (e.g. "The pill organiser in on the kitchen table") as well as various algorithms that transform raw distance estimations to SPD related to proximity, alignment and room identification. Two of these algorithms are evaluated using the LocURa4IoT testbed. The results are compared to the output of a pre-experiment involving ten human participants in the Maison Intelligente de Blagnac. The two studies indicate that both approaches converge up to 90% of the time. .
翻译:智能装置的本地化能力对于视力或认知受损者非常有用。 本地化能力技术越来越容易作为现成部件提供。 在本文中,我们强调需要在健康和自主领域提供这种服务,特别是对于残疾人而言。 我们引入了语义定位描述模型(SPD)(例如“厨房桌上的避孕药组织者”)以及各种算法,这些算法将粗距离估计值转换为与近距离、对齐和房间识别有关的SPD。其中两种算法使用Locura4IoT测试床进行了评估。结果与有10人参加Mison Intelligent de Blagnac的预探索前产出进行了比较。 这两项研究显示,这两种方法在90%的时间里都汇合在一起。