A real-time wireless sensor network for wheelchair navigation

Sevillano, José Luis; Cascado, D.; Cagigas, Daniel; Vicente, Sara; Lujan, C.D.; Díaz-del-Río, Fernando

doi:10.1109/aiccsa.2009.5069311

Cited by 13 publications

(6 citation statements)

References 11 publications

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“…One is older (slower) and the other is younger (faster) to measure RSSI for each case and learn its associated allowed range. In this paper, we have adopted Sevillano et al [3] approach for locating the cameras in each room in addition to the sensor nodes for full coverage.…”

Section: Methodsmentioning

confidence: 99%

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MND_WSN for Helping People with Different Disabilities

Aly

2014

International Journal of Distributed Sensor Networks

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This paper introduces a monitoring and navigation system to help people with disabilities (MND WSN ). The proposed system is based on wireless sensor networks. In the MND WSN system, each disabled person uses a handheld smart phone device. Three types of disabilities are studied in this paper: (1) blind, (2) deaf, and (3) on wheelchair. We experimented with a three-floor university building. Sensor nodes and cameras are scattered in all rooms and hallways. Smart phones are used to communicate with the sensor nodes to take instructions to navigate through the appropriate path. Dijkstra's algorithm is used for navigation. MND WSN also monitors the disabled person while navigating. The proposed system is compared to a baseline reference experiment. Results show improvement of 34% compared to the baseline reference experiment.

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Section: Methodsmentioning

confidence: 99%

“…The work done by Sevillano et al [3] proposed a simple wheelchair system with less onboard sensors to interact with an intelligent environment. The wheelchair navigation depends on its smart software.…”

Section: Literature Reviewmentioning

confidence: 99%

MND_WSN for Helping People with Different Disabilities

Aly

2014

International Journal of Distributed Sensor Networks

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“…In the field of maintenance and monitoring for a variety of purposes numerous reports exist, e.g. in [9,10] mobile communication is used for monitoring a wheelchair and in [11] for automated alarming if a failure is detected. Bidirectional communication is discussed in [12] in the area of additional services.…”

Section: Related Workmentioning

confidence: 99%

Flexible Embedded Telemetry System for Agriculture and Aquaculture

Weiskopf¹,

Weichert²,

Franzel

et al. 2014

Computer and Computing Technologies in Agriculture VII

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This paper describes a system for data acquisition and remote maintenance via wireless communication. In this work the concept of managing time critical tasks via networks is shown. The system consists of a client-serverstructure with a microcontroller-based module connected to the user devices and maintenance software, both as clients and a maintenance server for establishing the connection between the clients and to identify users. The special interest in this paper is the implementation of a specialized communication protocol to optimize the communication between the clients.

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“…The proposed system is composed of a mobile triggering client and collects task conditions from the mobile client to give warnings of potential problems. Sevillano et al [3] developed artificial intelligence models to assist users who need help. The work achieved by Sevillano et al [3] built a simple wheelchair system with simple less on board sensors to interact with a smart environment.…”

Section: Literature Surveymentioning

confidence: 99%

“…Sevillano et al [3] developed artificial intelligence models to assist users who need help. The work achieved by Sevillano et al [3] built a simple wheelchair system with simple less on board sensors to interact with a smart environment. The navigation built into the wheelchair depends on a piece of software where external sensors are used for information gathering.…”

Section: Literature Surveymentioning

confidence: 99%

Towards Independency Using LMN4DISABLED System for Disabled

Aly

2015

International Journal of Distributed Sensor Networks

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We propose a wireless based system to localize, monitor, and navigate people with a single type of disability. The proposed system is called LMN4DISABLED. Smartphone devices are used as interfaces for disabled people to communicate with the surrounding environments. This paper studies two types of disabilities (1) blind people and (2) people on wheelchairs with no mental deficiencies. Experiments are performed on a three-floor university building. Sensor nodes and cameras are distributed in all rooms and hallways. Dijkstra routing algorithm is used to select the appropriate route for each profile. New localization algorithm is used in the experiments. Experiments show that LMN4DISABLED outperforms reference experiments that are not using LMN4DISABLED by about 50.8% for different types of disabilities. When separating the performance of the blind disabled people from the performance of the people on wheelchairs, experiments show that the blind performance improved by 55% while wheelchair users improved by 47% when using the LMN4DISABLED system compared to basic reference experiments for the same people that did not use the LMN4DISABLED.

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A real-time wireless sensor network for wheelchair navigation

Cited by 13 publications

References 11 publications

MND_WSN for Helping People with Different Disabilities

MND_WSN for Helping People with Different Disabilities

Flexible Embedded Telemetry System for Agriculture and Aquaculture

Towards Independency Using LMN4DISABLED System for Disabled

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A real-time wireless sensor network for wheelchair navigation

Cited by 13 publications

References 11 publications

MNDWSN for Helping People with Different Disabilities

MNDWSN for Helping People with Different Disabilities

Flexible Embedded Telemetry System for Agriculture and Aquaculture

Towards Independency Using LMN4DISABLED System for Disabled

Contact Info

Product

Resources

About

MND_WSN for Helping People with Different Disabilities

MND_WSN for Helping People with Different Disabilities