An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture

Abstract

Abstract:The study of systems and architectures for ambient assisted living (AAL) is undoubtedly a topic of great relevance given the aging of the world population. The AAL technologies are designed to meet the needs of the aging population in order to maintain their independence as long as possible. As people typically spend more than 90% of their time in indoor environments, indoor air quality (iAQ) is perceived as an imperative variable to be controlled for the inhabitants' wellbeing and comfort. Advances in networking, sensors, and embedded devices have made it possible to monitor and provide assistance to people in their homes. The continuous technological advancements make it possible to build smart objects with great capabilities for sensing and connecting several possible advancements in ambient assisted living systems architectures. Indoor environments are characterized by several pollutant sources. Most of the monitoring frameworks instantly accessible are exceptionally costly and only permit the gathering of arbitrary examples. iAQ is an indoor air quality system based on an Internet of Things paradigm that incorporates in its construction Arduino, ESP8266, and XBee technologies for processing and data transmission and micro sensors for data acquisition. It also allows access to data collected through web access and through a mobile application in real time, and this data can be accessed by doctors in order to support medical diagnostics. Five smaller scale sensors of natural parameters (air temperature, moistness, carbon monoxide, carbon dioxide, and glow) were utilized. Different sensors can be included to check for particular contamination. The results reveal that the system can give a viable indoor air quality appraisal in order to anticipate technical interventions for improving indoor air quality. Indeed indoor air quality might be distinctively contrasted with what is normal for a quality living environment.

Smart Indoor Air Quality Monitoring System

“…The relation between concentration of pollutants and number of students is also presented, and thus urged the need of IoT enabled ventilation system. Similar IAQM applications are proposed for measuring CO2, CO, temperature, humidity and luminosity using WSN [19], [39] .In another study [40]CO 2 and formaldehyde are measured in workspace for regulating employers health. A web based IAQM is proposed by [41]for measuring various pollutants using WSN.…”

“…It includes air temperature, carbon monoxide, glow, moistness and carbon dioxide. This data through web can be accessed by doctors in real for diagnostics and for providing medical attention to elderly people without any delay [39]. Table 3 represents the comparison between above IAQ monitoring applications based on pollutants addressed, sensors used and also discusses benefits of different applications.…”

Medical long-distance monitoring system based on internet of things

“…The ZigBee protocol is used to set up a wireless sensor network to transmit information through wireless communication between a close-range node and a long-distance node. This process is just the same as information transmission between bees [5]. ZigBee technology supports three network topologies, including star-type network, tree-type network, and mesh network.…”

An Internet of Things-Based Environmental Quality Management System to Supervise the Indoor Laboratory Conditions

“…Ambient Assisted Living (AAL) is a research area which studies the conceptualisation of an ecosystem of diverse kinds of sensors, computers, mobile gadgets, wireless networks and software development for enhanced personal healthcare supervision and telemedicine solutions [12]. At 2050, a significant proliferation of diseases will lead to high healthcare costs, lack of caregivers, dependency and notable social impact, because 20% of the world population will be aged 60 or over [13].…”