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（IoT）的发展，其本身就是开发智能环境的努力的延伸，空间信息服务即将变得无处不在。如今，随着智能手机的广泛使用，地理定位标签已成为现代互联网的必要条件。大数据在很大程度上是地理空间的。然而，数字地理空间信息正变得无所不在，不仅在景观的尺度上，而且越来越多地在人体的尺度上。因此，新技术正在开发中，用于监测所谓的近端身体空间。然而，将这两个尺度结合在一起是一项不平凡的任务。此外，基础测绘仍然使用传统的测量工具进行，并且越来越需要厘米精度的基础测绘来支持物联网的发展。然而，物联网提供了一种更强大的方式来执行这种高精度的基础映射，基本上是通过跟踪嵌入在整个环境中的主动智能芯片获取的地理空间数据。此外，智能服装和可穿戴设备以及智能手机将与固定单元交互，以与地理定位基础设施相关的方式提供人体尺度的信息。此外，身体空间最终将配备数十个（甚至数百个）传感器，提供不同的功能，每个传感器在近端身体空间内都有一个位置和作用。在这个项目中，我们建议探索近端的身体空间和固定的环境在其地理空间能力之间的联系。这扩展了目前在开发与智能环境交互的智能服装和可穿戴设备方面所做的工作。将涉及四个不同的领域。首先，我们将巩固正在发展的框架理论，我们借鉴生态系统科学和体现哲学。其次，我们将开发一套设计工具，其中包含基础理论，以促进物联网设计。第三，我们将构建一个小型物联网，跨越室内和室外环境之间的分离。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的传感单元的交互。除了移动的单元和固定传感器之间的交互外，我们还将探索移动到移动的交互-智能服装和可穿戴设备相互交互，由物联网支持。生态系统方法的应用确保了所部署的网络不仅包含更新和通信的强大程序，而且还增强了其支持人类复原力的能力。目标应用包括基础测绘及其更新、导航和定向辅助、避免碰撞以及支持多个应用领域的监控功能。