Using smart mobile devices for monitoring in assistive environments

Abstract

Over the last few years, the vast majority of smart devices has been equipped with a variety of sensors, including accelation, light and gravity sensors, magnetometers etc. Moreover, mobile smart devices possess high computational power, storage in the order of gigabytes, whereas high battery capacity and high bandwidth are available. The biggest advantage of the wide presence of mobile smart devices is that all this distributed computing power is already at hands of people, being idle for the most time. This fact presents a chance of utilizing this distributed computational infrastructure with the goal of building participatory sensing systems with various applications for enviromental support, like health or structure monitoring. In this paper we are presenting a generic distributed framework consisting only of mobile smart devices and operating only in the network. We utilize a scalable, fault-tolerant communication protocol, that performs best-effort time synchronization of the nodes and present a first approach in an example application of distributed structural health monitoring (SHM).

Roadmap on measurement technologies for next generation structural health monitoring systems

“…Most of the existing studies in this area are focused on detecting road bumps and anomalies, while pavement roughness estimation is less investigated. Pioneering research on applications of smartphone technologies for SHM in structural engineering field was carried out in [62], where classical peak-peaking method has been tested on the frequency response function determined on the time series data recorded accelerations of smartphone devices, and in [63,64] where a cloud-SHM method has been developed based on smartphone data, for estimation of cable force test and natural frequencies of Xinghai Bay bridge in China. Further, the versatile usage of smartphones in monitoring a full-scale building was explored in [65] where an unconventional idea to condition monitoring of a full-scale building was presented considering the Millikan library at California Institute of Technology.…”

Implementation Success of an Indoor Navigation with Location-Based Augmented Reality

“…It is easier to navigate indoors when one can see the surroundings while moving through space naturally as contextual information conforms to the view. Therefore, Augmented Reality (AR) technologies can ideally be used for indoor navigation to provide environmental information and navigation routes [9], [10], [11], [12], [13]. In parallel, HCI and usability considered as core aspects of the system development process to satisfy users' needs and necessities and to enhance system facilities.…”

Mobile Augmented Reality enhances indoor navigation for wheelchair users

“…Ubiquitous Computing, more commonly known as Pervasive Computing, describes the ways in which actual technological models, based on intelligent devices (mobile phones and wireless devices), intelligent environments (embedded device systems) and intelligent interaction (between devices), relate and support computational vision for a wide range of devices used in a variety of environments and human activities (Poslad, 2009;Xing et al, 2009). While Pervasive Computing, along with mobile devices, could allow for the development of new and useful applications for daily activities, which can also be directed towards the improvement of the quality of life of wheelchair users (Ahluwalia et al, 2014;Chiara et al, 2010), Augmented Reality technologies can ideally be used for indoor navigation to provide environmental information and navigation routes (Delail et al, 2012;Hervas et al, 2014;Kotsakos et al, 2013;Matuszka et al, 2013;Rehman and Cao, 2015).…”