Navigation Services for Indoor and Outdoor User Mobility: An Overview

Liu, Kaixu; Motta, Gianmario; Ma, Tianyi

doi:10.1109/icss.2016.18

Cited by 5 publications

(12 citation statements)

References 25 publications

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“…Te ethnicity of target user groups was mainly European (36%) and Australian (3%), while the remaining (61%) were unspecifed. Inspecting the countries reported in the articles, the end-users who were involved in the service integration studies were from Italy [68,[72][73][74][75][76][77], Greece [77][78][79], UK [77,79], and Sweden [66,79], as depicted in Figure 10. It is worthwhile to note that three studies involved users from multiple countries (i.e., [77][78][79]).…”

Section: Service Composition Landscapementioning

confidence: 99%

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A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

Namoun

Tufail

Nawaz

et al. 2023

Computational Intelligence and Neuroscience

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Integrating smart heterogeneous objects, IoT devices, data sources, and software services to produce new business processes and functionalities continues to attract considerable attention from the research community due to its unraveled advantages, including reusability, adaptation, distribution, and pervasiveness. However, the exploitation of service-oriented computing technologies (e.g., SOC, SOA, and microservice architectures) by people with special needs is underexplored and often overlooked. Furthermore, the existing challenges in this area are yet to be identified clearly. This research study presents a rigorous literature survey of the recent advances in service-oriented composition approaches and solutions for disabled people, their domains of application, and the major challenges, covering studies published between January 2010 and October 2022. To this end, we applied the systematic literature review (SLR) methodology to retrieve and collate only the articles presenting and discussing service composition solutions tailored to produce digitally accessible services for consumption by people who suffer from an impairment or loss of some physical or mental functions. We searched six renowned bibliographic databases, particularly IEEE Xplore, Web of Science, Springer Link, ACM Library, ScienceDirect, and Google Scholar, to synthesize a final pool of 38 related articles. Our survey contributes a comprehensive taxonomy of service composition solutions, techniques, and practices that are utilized to create assistive technologies and services. The seven-facet taxonomy helps researchers and practitioners to quickly understand and analyze the fundamental conceptualizations and characteristics of accessible service composition for people with disabilities. Key findings showed that services are fused to assist disabled persons to carry out their daily activities, mainly in smart homes and ambient intelligent environments. Despite the emergence of immersive technologies (e.g., wearable computing), user-service interactions are enabled primarily through tactile and speech modalities. Service descriptions mainly incorporate functional features (e.g., performance, latency, and cost) of service quality, largely ignoring accessibility features. Moreover, the outstanding research problems revolve around (1) the unavailability of assistive services datasets, (2) the underspecification of accessibility aspects of disabilities, (3) the weak adoption of accessible and universal design practices, (4) the abstraction of service composition approaches, and (5) the rare experimental testing of composition approaches with disabled users. We conclude our survey with a set of guidelines to realize effective assistive service composition in IoT and cloud environments. Researchers and practitioners are advised to create assistive services that support the social relationships of disabled users and model their accessibility needs as part of the quality of service (QoS). Moreover, they should exploit AI/ML models to address the evolving requirements of disabled users in their unique environments. Furthermore, weaknesses of service composition solutions and research challenges are exposed as notable opportunities for future research.

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Section: Service Composition Landscapementioning

confidence: 99%

“…In six studies and fve studies, wearable technologies and brain control interfaces were mentioned. Only a few studies used body movements (i.e., [87,88]) and eye-tracking technology (i.e., [74]) to enable user interaction.…”

Section: Service Composition Landscapementioning

confidence: 99%

A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

Namoun

Tufail

Nawaz

et al. 2023

Computational Intelligence and Neuroscience

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“…As a general solution for mobility, the work of Liu et al [16] presents an approach of user mobility for system reusability and portability. This approach considers different technologies, mainly for indoor positioning, to deliver for the user a system that can seamlessly help the user in a use case of transitional navigation.…”

Section: Related Workmentioning

confidence: 99%

A Model to Support Fluid Transitions between Environments for Mobile Augmented Reality Applications

Araújo

Santos

Lima

2019

Sensors

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The adaptability between different environments remains a challenge for Mobile Augmented Reality (MAR). If not done seamlessly, such transitions may cause discontinuities in navigation, consequently disorienting users and undermining the acceptance of this technology. The transition between environments is hard because there are currently no localization techniques that work well in any place: sensor-based applications can be harmed by obstacles that hamper sensor communication (e.g., GPS) and by infrastructure limitations (e.g., Wi-Fi), and image-based applications can be affected by lighting conditions that impair computer vision techniques. Hence, this paper presents an adaptive model to perform transitions between different types of environments for MAR applications. The model has a hybrid approach, choosing the best combination of long-range sensors, short-range sensors, and computer vision techniques to perform fluid transitions between environments that mitigate problems in location, orientation, and registration. To assess the model, we developed a MAR application and conducted a navigation test with volunteers to validate transitions between outdoor and indoor environments, followed by a short interview. The results show that the transitions were well succeeded, since the application self-adapted to the studied environments, seamlessly changing sensors when needed.

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“…It plays an essential role in urban life, making daily travelling smarter and faster. For instance, Kaixu Liu, et.al provides an overview on navigation services for indoor and outdoor users [1]. In particular, navigation services based on global satellite systems are widely studied and several designs and performance evaluations are presented in [2], [3] and [4].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Kaixu Liu, et.al provides an overview on navigation services for indoor and outdoor users [1]. In particular, navigation services based on global satellite systems are widely studied and several designs and performance evaluations are presented in [2], [3] and [4]. In addition, energy-efficient strategies in water navigation and localization are described in [5].…”

Section: Introductionmentioning

confidence: 99%

Generation of an Indoor 2D Map and Track Encryption Based on Mobile Crowdsourcing

Cao¹

2018

IJET

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The widespread application of mobile crowdsourcing modes provides new ideas for generating indoor maps. By collecting and analyzing the trajectory datas of users properly, we can obtain the location information of indoor paths. Unfortunately, currently studies usually rely heavily on a satellite location, which restricts their indoor application. In this paper, a simple and practical method of generating indoor maps on Andriod platform is presented, and this method is able to correct deviation duly. User's datas collected by several bulit-in sensors are preprocessed utilizing Gaussian filter, after which we adopt feature recognition to confirming one's walking track based on multiple experiment datas. In order to integrate tracks generated by different persons, we then propose a new data structure based on a transition probability that can be updated online to store track information. In addition, we minimize possible deviations by testing the signal power launched by four Bluetooth base stations. Discrete tracks are finally integrated into a complete indoor map using a graph_based model. We then propose a novel encryption scheme exploiting chaos in a nonlinear digital filter, where secure key generation methods are discussed in detail. The secure key scheme includes: 1)channel measurement 2)a decorrelation transform 3)multibit adaptive quantization and encoding. Experiments are conducted in rectangle fields of 8m*8m, 44m*44m, respectively, and the results show our method can attain a maximum error of 5.94%.

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Navigation Services for Indoor and Outdoor User Mobility: An Overview

Cited by 5 publications

References 25 publications

A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges

A Model to Support Fluid Transitions between Environments for Mobile Augmented Reality Applications

Generation of an Indoor 2D Map and Track Encryption Based on Mobile Crowdsourcing

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