Wearable Sensor Ecologies and Geolocation Infrastructures

可穿戴传感器生态系统和地理定位基础设施

• 批准号: RGPIN-2018-06320
• 负责人: Edwards, Geoffrey
• 金额: $ 4.52万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=765450
• 关键词: Wearable; Sensor; Ecologies; Geolocation; Infrastructures

With the development of the Internet of Things (IoT), itself an extension of efforts to develop smart environments, spatial information services are on the threshold of becoming ubiquitous. Today, with the widespread use of smart phones, geolocation tags have become the sine qua non of the modern internet. Big data is, to a large extent, geospatial in nature. Digital geospatial information, however, is becoming omnipresent not just at the scale of the landscape, but, increasingly, at the scale of the human body. Hence new technologies are under development that monitor what has been called proximal body space. Tying these two scales together, however, is a non trivial task. Furthermore, base mapping is still carried out using traditional surveying tools, and base mapping with centimetric accuracy is increasingly needed to support IoT developments, among others. The IoT, however, offers a more robust way of carrying out such high accuracy base mapping, essentially, by keeping track of geospatial data acquired by proactive smart chips embedded throughout the environment. In addition, smart garments and wearables as well as smart phones, will interact with fixed units to provide information at the scale of the human body in ways that can be related to geolocation infrastructures. Furthermore, body space will be equipped with, eventually, dozens (even hundreds) of sensors providing diverse functionalities, each of which will have a location and a role within the proximal body space. In this project, we propose to explore the linkages between proximal body spaces and the fixed environment in its geospatial capacities. This extends current work undertaken in the development of smart garments and wearables that interact with environments equipped with intelligence. Four different areas will be addressed. First, we will consolidate a framing theory under development we draw on ecosystem science and embodied philosophy for this. Second, we will develop a suite of design tools that incorporates the underlying theory to facilitate IoT design. Third, we will construct a small IoT that straddles the separation between indoor and outdoor environments. Finally, we will validate the functionality of both the fixed IoT and its interaction with mobile sensing units that pass through the fixed IoT environment. In addition to interactions between the mobile units and fixed sensors, we shall also explore mobile-to-mobile interactions - smart garments and wearables that interact with each other, supported by the IoT. The application of ecosystem approaches ensures that the deployed networks will not only contain robust procedures for updating and communication, but also enhances their ability to support human resiliency. Targeted applications include base mapping and its update, navigational and orientation assistance, collision avoidance, and monitoring functions in support of several application domains.

随着物联网的发展（IoT），本身就是开发智能环境的努力的扩展，空间信息服务正是无处不在的门槛。如今，随着智能手机的广泛使用，地理位置标签已成为现代互联网的正弦原理。大数据在很大程度上是地理空间本质上的。但是，数字地理空间信息不仅在景观的规模上变得无处不在，而且在人体的规模上越来越多。因此，正在开发新技术，以监测所谓的近端身体空间。但是，将这两个量表绑在一起是一项非微不足道的任务。此外，基本映射仍使用传统的测量工具进行，并且越来越需要以厘米精度的基础映射来支持物联网开发等。但是，物联网提供了一种更强大的方式，可以通过跟踪由嵌入在整个环境中的积极主动的智能芯片获得的地理空间数据来进行如此高精度的基础映射。此外，智能服装和可穿戴设备以及智能手机将与固定单元进行交互，以与地理位置基础设施有关的方式提供人体规模的信息。此外，车身空间最终将配备几十个提供多种功能的传感器（甚至数百个），每个传感器都将在近端身体空间中具有位置和作用。在这个项目中，我们建议探索其地理空间能力中近端人体空间与固定环境之间的联系。这扩展了在开发智能服装和可穿戴设备方面进行的当前工作，这些服装和可穿戴设备与配备智力的环境相互作用。将解决四个不同的领域。首先，我们将巩固正在开发的框架理论，我们借鉴了生态系统科学并为此体现了哲学。其次，我们将开发一套设计工具，以结合基础理论以促进物联网设计。第三，我们将构建一个跨越室内环境和室外环境之间的分离的小物联网。最后，我们将验证固定物联网的功能及其与通过固定物联网环境的移动传感单元的相互作用。除了移动设备和固定传感器之间的交互之外，我们还将探索移动到移动机动的交互 - 智能服装和可穿戴设备，这些衣服相互交互，并由物联网支持。生态系统方法的应用可确保部署的网络不仅包含更新和通信的强大程序，还可以增强其支持人类弹性的能力。有针对性的应用程序包括基本映射及其更新，导航和方向帮助，避免碰撞以及支持多个应用程序域的功能。