A Blind Navigation System Using RFID for Indoor Environments

Chumkamon, Sakmongkon; Tuvaphanthaphiphat, P.; Keeratiwintakorn, Phongsak

doi:10.1109/ecticon.2008.4600543

Cited by 162 publications

(71 citation statements)

References 4 publications

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“…The validation framework includes the following three main components: (1) virtual reality-based simulation that simulates a BVI user traversing and interacting with the physical environment, developed using Unity game engine; (2) generation of action codes that emulate the avatar movement in the virtual environment, developed using a natural language processing parser of the navigation instructions; and (3) accessible user interface, which enables the user to access the navigation instructions. A case study illustrates the use of the validation tool using the PERCEPT system [26].…”

Section: D Space Sensing and Augmented Reality Systemsmentioning

confidence: 99%

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Blind MuseumTourer: A System for Self-Guided Tours in Museums and Blind Indoor Navigation

Μηλιώνης

Sampson

2018

Technologies

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Notably valuable efforts have focused on helping people with special needs. In this work, we build upon the experience from the BlindHelper smartphone outdoor pedestrian navigation app and present Blind MuseumTourer, a system for indoor interactive autonomous navigation for blind and visually impaired persons and groups (e.g., pupils), which has primarily addressed blind or visually impaired (BVI) accessibility and self-guided tours in museums. A pilot prototype has been developed and is currently under evaluation at the Tactual Museum with the collaboration of the Lighthouse for the Blind of Greece. This paper describes the functionality of the application and evaluates candidate indoor location determination technologies, such as wireless local area network (WLAN) and surface-mounted assistive tactile route indications combined with Bluetooth low energy (BLE) beacons and inertial dead-reckoning functionality, to come up with a reliable and highly accurate indoor positioning system adopting the latter solution. The developed concepts, including map matching, a key concept for indoor navigation, apply in a similar way to other indoor guidance use cases involving complex indoor places, such as in hospitals, shopping malls, airports, train stations, public and municipality buildings, office buildings, university buildings, hotel resorts, passenger ships, etc. The presented Android application is effectively a Blind IndoorGuide system for accurate and reliable blind indoor navigation.

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Section: D Space Sensing and Augmented Reality Systemsmentioning

confidence: 99%

“…Several systems exploit the concept of setting up a Radio Frequency IDentification (RFID) information grid for blind navigation and wayfinding in buildings and indoor environments [25][26][27].…”

Section: Rfid/nfc and Multimodal Rfid Systemsmentioning

confidence: 99%

Blind MuseumTourer: A System for Self-Guided Tours in Museums and Blind Indoor Navigation

Μηλιώνης

Sampson

2018

Technologies

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“…Such AmI applications included alerting carers for emergency cases such as falling down [70], using robots to assist the elderly in daily tasks [71] or suggesting safe navigation techniques for the blind via GPS, RFID, etc. [72] [73]. One of the major daily activities that would increase the comfort levels of the users and help people with disabilities is cooking and performing tasks in the kitchen.…”

Section: Introductionmentioning

confidence: 99%

A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation

Bilgin

Hagras

Helvert

et al. 2016

IEEE Trans. Fuzzy Syst.

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Abstract-This paper addresses the need to enhance transparency in Ambient Intelligent Environments by developing more natural ways of interaction, which allow the users to communicate easily with the hidden networked devices rather than embedding obtrusive tablets and computing equipment throughout their surroundings. Ambient Intelligence vision aims to realize digital environments that adapt to users in a responsive, transparent and context aware manner in order to enhance users' comfort. It is therefore appropriate for employing the paradigm of 'Computing With Words' (CWWs), which aims to mimic the ability of humans to communicate transparently and manipulate perceptions via words. One of the daily activities that would increase the comfort levels of the users (especially people with disabilities) is cooking and performing tasks in the kitchen. Existing approaches on food preparation, cooking, and recipe recommendation stress on healthy eating and balanced meal choices while providing limited personalization features through the use of intrusive user interfaces. Herein, we present an application, which transparently interacts with users based on a novel CWWs approach in order to predict the recipe's difficulty level and to recommend an appropriate recipe depending on the user's mood, appetite and spare time. The proposed CWWs framework is based on Linear General Type-2 (LGT2) Fuzzy Sets, which linearly quantify the linguistic modifiers in the third dimension in order to better represent the user perceptions while avoiding the drawbacks of type-1 and interval type-2 fuzzy sets. The LGT2 based CWWs framework can learn from user experiences and adapt to them in order to establish more natural human-machine interaction. improvement when general type-2 fuzzy sets are used than when interval type-2 fuzzy sets are used instead. The quantitative and qualitative analysis both show the success of the system in providing a natural interaction with the users for recommending food recipes where the quantitative analysis shows the high statistical correlation between the system output and the users' feedback; and the qualitative analysis presents social science evaluation confirming the strong user acceptance of the system. Index Terms-ambient intelligence, computing with words, general type-2 fuzzy sets I. INTRODUCTIONhe recent years have witnessed a rapid increase in the miniaturization of computers which enabled to embed computing throughout our spaces in familiar objects such as home appliances (e.g. washing machines, refrigerators, etc.), portable devices (e.g. mobile phones, tablets, etc.), cars, etc. In addition, the advances in communications allowed such devices to be networked and connected to the Internet. Among the highlights of the connected and miniaturized devices bring to real life is the opportunity of customization and therefore personalization. Lately, it is getting more important to deliver personalized content in areas such as food planning which is becoming an important personal issue that affects the ...

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“…Indoor location information is valuable to the building industry, and it lays the basis of a wide range of applications, such as locating building components [1], indoor navigation for the visually impaired [2,3], automated lighting and air conditioning control for building energy conservation [4,5], and emergency response support with space-specific information [6].…”

Section: Introductionmentioning

confidence: 99%

Assessment of WSN and RFID Technologies for Real-Time Occupancy Information

Çalış¹,

Deora²,

Li³

et al. 2011

28th International Symposium on Automation and Robotics in Construction (ISARC 2011)

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Real-time occupancy information is valuable to the building industry for a wide variety of applications such as on-site safety management, energy conservation, emergency response and so on. With the emergence of various technologies that can potentially be used for indoor location sensing (ILS), the building industry is in search for an ILS solution to provide accurate and cost efficient occupancy information. This study assesses two ILS systems that are built on two promising modalities: radio frequency identification (RFID) and wireless sensor networks (WSNs). Two algorithms were proposed and tested in a computer lab with an area of 235 m 2 . Six occupants, who were attached with both RFID tags and WSN nodes, were tracked simultaneously. The occupants remained seated throughout the test, and the occupancy was monitored. The results show that the proposed systems were able to provide accurate room level occupancy information majority of the time, and that the choice of algorithm and technology affected the uniformity of the results.

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A Blind Navigation System Using RFID for Indoor Environments

Cited by 162 publications

References 4 publications

Blind MuseumTourer: A System for Self-Guided Tours in Museums and Blind Indoor Navigation

Blind MuseumTourer: A System for Self-Guided Tours in Museums and Blind Indoor Navigation

A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation

Assessment of WSN and RFID Technologies for Real-Time Occupancy Information

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