Navigation and space perception assistance for the visually impaired: The NAVIG project

Kammoun, Slim; Parseihian, Gaëtan; Gutierrez, Olivier; Brilhault, Adrien; Serpa, Antonio; Raynal, Mathieu; Oriola, Bernard; Macé, Marc J.‐M.; Auvray, Malika; Denis, Michel; Thorpe, Simon J.; Truillet, Philippe; Katz, Brian F. G.; Jouffrais, Christophe

doi:10.1016/j.irbm.2012.01.009

Cited by 61 publications

(38 citation statements)

References 23 publications

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“…The use of multi-sensory approaches to extract information about the surrounding environment and blind mobility [3], [4] are limited to address user location, navigation and partial environment recognition [5]- [8]. Moreover, most of these approaches rely on computer vision systems to extract surrounding information [1], [2].…”

Section: Discussionmentioning

confidence: 99%

“…Recently, computer vision systems have been developed to extract information about the surrounding environment and provide guidance for blind users [1], [2]. Multisensory approaches are also used to provide orientation and mobility to the blind [3], [4], addressing user location, navigation and environment recognition problems in a integrated solution [5]- [8]. The multi-sensory technology and data fusion is used in other contexts for the same purpose, as for instance in autonomous driving [9], [10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Pervasive Crowd Mapping for Dynamic Environments

Paredes¹,

Fernandes²,

Sousa³

et al. 2016

Proceedings of the 2015 International Conference on Recent Advances in Computer Systems

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Abstract-There is a demand for new models of computation intelligence for the recognition of the environment and the obstacles in each moment and the sharing of this information with other users providing temporary dangers notifications, which can enhance blind navigation experience and autonomy. We identified an opportunity to contribute with an integrated strategy to develop a solution to improve the blind autonomy and quality of life. We are looking for solutions to problems that have emerged from the accumulated experience in blind navigation systems research. The main objective of this paper is to present a conceptual model that works based on data obtained from sensors on passive monitoring, worn by bystanders that can combine and correlate the inference patterns that match the obstacles and/or dangers. The model has retro-feedback mechanisms, allowing the sensors to search and pervasively validate the existence of obstacle, ensuring the temporary basis of these risks.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pervasive Crowd Mapping for Dynamic Environments

Paredes¹,

Fernandes²,

Sousa³

et al. 2016

Proceedings of the 2015 International Conference on Recent Advances in Computer Systems

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“…Kammoun et al 27 proposed a project called NAVIG. Their goal was to design a system to assist blind people in navigating indoor and outdoor environments through micro-navigation (sensing immediate environments) and macro-navigation (reaching remote destinations) functions, by using the traditional navigation tools.…”

Section: Related Workmentioning

confidence: 99%

Utilizing sensors networks to develop a smart and context-aware solution for people with disabilities at the workplace (design and implementation)

Kbar

Al-Daraiseh

Mian

et al. 2016

International Journal of Distributed Sensor Networks

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The developments and improvements in human-computer interaction and information and communication technologies have resulted in innovative assistive technology (AT) solutions for the people with disabilities (PWDs). Although, there have been many new ideas and technologies for assisting the PWDs, still very few of them have considered the workplace environment. Therefore, there is a need to develop a comprehensive universal AT solution that can maximize the PWDs productivity at work. In this work, an AT and smart context-aware solution has been developed to assist the PWDs at the workplace. This has been achieved through the designing and the implementation of a smart unified interface to guide and assist the PWDs. A wireless sensor network has been employed in this context-aware smart solution in order to track and determine user's location. The unified interface is adaptive and includes four modules that are smart helping, smart communication, smart editor, and auto emergency response. A proper AT process and technological design considerations have been adopted to achieve a comprehensive, universal, adaptive, and context-aware solution.

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“…The 2D position of the person was detected in the second layer using corner features extracted from the laser-scan data, linear velocity measurements from the pedometer, and a filtered version of the cane's yaw. Kammoun et al [30] utilized micro-navigation (sensing immediate environments) and macro-navigation (reaching remote destinations) functions to design a system for blind people in indoor and outdoor environments. This system started searching for any object requested by the user in the captured images.…”

Section: Introductionmentioning

confidence: 99%

A University-Based Smart and Context Aware Solution for People with Disabilities (USCAS-PWD)

et al. 2016

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(1) Background: A disabled student or employee in a certain university faces a large number of obstacles in achieving his/her ordinary duties. An interactive smart search and communication application can support the people at the university campus and Science Park in a number of ways. Primarily, it can strengthen their professional network and establish a responsive eco-system. Therefore, the objective of this research work is to design and implement a unified flexible and adaptable interface. This interface supports an intensive search and communication tool across the university. It would benefit everybody on campus, especially the People with Disabilities (PWDs).(2) Methods: In this project, three main contributions are presented: (A) Assistive Technology (AT) software design and implementation (based on user-and technology-centered design); (B) A wireless sensor network employed to track and determine user's location; and (C) A novel event behavior algorithm and movement direction algorithm used to monitor and predict users' behavior and intervene with them and their caregivers when required. (3) Results: This work has developed a comprehensive and universal application with a unified, flexible, and adaptable interface to support the different conditions of PWDs. It has employed an interactive smart based-location service for establishing a smart university Geographic Information System (GIS) solution. This GIS solution has been based on tracking location service, mobility, and wireless sensor network technologies. (4) Conclusion: The proposed system empowered inter-disciplinary interaction between management, staff, researchers, and students, including the PWDs. Identifying the needs of the PWDs has led to the determination of the relevant requirements for designing and implementing a unified flexible and adaptable interface suitable for PWDs on the university campus.

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Navigation and space perception assistance for the visually impaired: The NAVIG project

Cited by 61 publications

References 23 publications

Pervasive Crowd Mapping for Dynamic Environments

Pervasive Crowd Mapping for Dynamic Environments

Utilizing sensors networks to develop a smart and context-aware solution for people with disabilities at the workplace (design and implementation)

A University-Based Smart and Context Aware Solution for People with Disabilities (USCAS-PWD)

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