In recent years, the aging of the population has attracted considerable attention in the scientific community. An important fact is an increasing number of senior people will suffer from cognitive decline and there is almost no existing way to detect it early without the intervention of a clinician. Indeed, the sooner the cognitive decline is detected, the professional can elaborate a more adequate strategy to slow it down. In fact, Mild Cognitive Impairments (MCI) have been strongly correlated to a decreasing gait speed over the time. However, it would take a lot of human resources to carry out a standardized walking speed test every year to follow the evolution of this one. In fact, it is unthinkable in the current context of healthcare economics scarcity, thus finding a way of measuring it automatically at home could be a promising solution. This ambient sensor should be able to measure the gait speed of an inhabitant and automatically associate it to the right resident in a multi-resident context. In this paper, we present a new prototype to monitor gait speed continuously at home non intrusively. When coupled with a wristband capable of communicating through BLE, the gait speed can then be associated with the right person in a multi-resident context. The proposed prototype was tested in a realistic smart home context and results obtained are very encouraging.

近年来，人口的老龄化在科学界引起了相当大的关注。一个重要的事实是，越来越多的老年人将遭受认知能力下降，并且几乎没有现成的方法可以在没有临床医生干预的情况下及早发现它。实际上，越早发现认知下降，专业人员就可以制定出更适当的策略来减缓它。实际上，随着时间的推移，轻度认知障碍（MCI）与步态速度的下降密切相关。但是，为了跟上这一步的发展，每年都需要大量的人力资源来进行标准化的步行速度测试。实际上，在当前医疗保健经济学匮乏的情况下，这是不可想象的，因此，找到一种在家中自动进行测量的方法可能是一个有前途的解决方案。该环境传感器应能够测量居民的步态速度，并在多居民环境中自动将其与正确的居民关联。在本文中，我们提出了一种新的原型，可以在家中非干扰性地连续监测步态速度。当与能够通过BLE进行通信的腕带配合使用时，步态速度便可以在多居所环境中与合适的人相关联。拟议的原型在现实的智能家居环境中进行了测试，获得的结果令人鼓舞。然后，步态速度可以在多居所环境中与合适的人相关联。拟议的原型在现实的智能家居环境中进行了测试，获得的结果令人鼓舞。然后，步态速度可以在多居所环境中与合适的人相关联。拟议的原型在现实的智能家居环境中进行了测试，获得的结果令人鼓舞。