Smart environments using near-field communication and HTML5

Abstract

Home health care and home automation increasingly allows more seniors to maintain independence, and remain longer in their own homes. Similarly, a post-surgical patient may be discharged from a medical facility to their house, which electronically facilitates their recuperation and promotes recovery. Smart environments are making the task of providing assistive technology in the home easier and more affordable. Near-field communication (NFC) has become popular in recent years. Increasing uptake of NFC-enabled smartphones has opened a new avenue to facilitate creation of a smart environment without the need for significant infrastructure. HTML5 is the latest version of the hypertext markup language, with unique code that enables access to advanced features on a smartphone. Proprietary apps can potentially be inconvenient and inconsistent and may even decrease uptake of the technology. In this paper, we propose a new methodology to enable NFC tags and NFC smartphones in conjunction with HTML5 backbone code, to be used for smart environments in home health care applications without the need for specific applications to be installed on the smartphone. Results show significant promise with just the built in phone software with use of NFC and HTML5 for various applications of smart environments. In many common tasks in a smart environment that increase patient safety, NFC tags can be not only informative, but an integral component of the system by triggering specific HTML5 code to provide appropriate responses -without the need to install specialized apps as long as the NFC is enabled in the mobile device.

Sensory Substitution: Situational Awareness and Resilience using Available Sensors

“…2. Data Analytics [4], [5], [6], [7], [8], [9], [10]: A) Sensory Validation: Designed a method of validating sensor inputs: ambient physical sensors for AI camera analytic validation and performed an analysis of sensing security implications. B) Classification and Adaptation: Proposed an urban sensing method using imaging analytics with acoustic signals for UAV signature classification and designed an environmental and physical sensor system for smart environments to perform human detection and develop personalization in an IoT environment.…”

“…This thesis links the concept of Agile IoT to the concept of agile communication to show that redundant communication through WSNs, as well as sensory substitution in critical infrastructure environments can lead to increased operational intelligence. Examples of critical infrastructure scenarios where this method is applied are pipes for flow in industrial/institutional settings, doors for health/food monitoring, and bridge/road for ice development monitoring [10,9,8,3,2].…”

“…This has been explored using posture sensing and adaptive algorithms such as least-means squared (LMS) [8,9]. It has also been explored with smart environments using near field communication and rapid HTML5 deployments [10].…”

“…This chapter presented data analytics approaches for three application scenarios. The resulting publications are: [4], [5], [6], [7], [8], [9], and [10]. This chapter covered: The third layer is the response mechanism and resilience feedback loop.…”

“…Sometimes, they can be a bit descriptive, but without measurement tools readily available, even the best descriptions can be relative and qualitative. The most accurate quantitative measurements may be those where a network of IoT sensors are deployed to measure the specific quantity such as [10]. Smartphone cameras can play an important role as part of data acquisition in edge computing solutions.…”