Wheelchair for physically disabled people with voice, ultrasonic and infrared sensor control

Mazo, Manuel; Rodríguez, Francisco; Lázaro, José; Ureña, J.; García, Juan Carlos García; Santiso, Enrique; Revenga, P.

doi:10.1007/bf00710857

Cited by 76 publications

(21 citation statements)

References 12 publications

(11 reference statements)

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“…Previous studies [1,2,3,4] involved the implementation of ultrasonic sensors to support the movements of elderly and visually impaired individuals. For example, studies examined barrier detection to improve the safety of user movements [5,6].…”

Section: Introductionmentioning

confidence: 99%

Application of Ultrasonic Sensors in Road Surface Condition Distinction Methods

Nakashima

Aramaki

Kitazono

et al. 2016

Sensors

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The number of accidents involving elderly individuals has been increasing with the increase of the aging population, posing increasingly serious challenges. Most accidents are caused by reduced judgment and physical abilities, which lead to severe consequences. Therefore, studies on support systems for elderly and visually impaired people to improve the safety and quality of daily life are attracting considerable attention. In this study, a road surface condition distinction method using reflection intensities obtained by an ultrasonic sensor was proposed. The proposed method was applied to movement support systems for elderly and visually impaired individuals to detect dangerous road surfaces and give an alarm. The method did not perform well in previous studies of puddle detection, because the alert provided by the method did not enable users to avoid puddles. This study extended the method proposed by previous studies with respect to puddle detection ability. The findings indicate the effectiveness of the proposed method by considering four road surface conditions. The proposed method could detect puddle conditions. The effectiveness of the proposed method was verified in all four conditions, since users could differentiate between road surface conditions and classify the conditions as either safe or dangerous.

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Section: Introductionmentioning

confidence: 99%

Application of Ultrasonic Sensors in Road Surface Condition Distinction Methods

Nakashima

Aramaki

Kitazono

et al. 2016

Sensors

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“…Also thanks to the fact that increasingly faster computers have become accessible for simulation and emulation of the new components to a growing number of users [6]- [8]. In recent work different techniques were introduced to improve the command of an electric wheelchair such as a computer and speech recognition techniques namely: DTW (Dynamic Time Warping) Crossing Zero and HMM (Hidden Markov Model) [1] and [2]. However voice-command encountered some problems primarily due to:…”

Section: Introductionmentioning

confidence: 99%

New speech processor and ultrasonic sensors based embedded system to improve the control of a motorised wheelchair

Fezari

Khati

2008

2008 3rd International Design and Test Workshop

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This paper describes a design of an embedded system used to facilitate the control of a wheelchair. Wheelchair users are able to operate a joystick to control the chair, however many more severely handicapped users need some other means of controlling this type of robot. The designed system is based on grouping a microcontroller with a new voice recognition processor for isolated word and speaker dependent and a set of ultrasonic modules. The resulting design is used to control a wheelchair for a handicapped individuals based on a vocal command. The input of the system are a set of eight Arabic words used to control the movement of an electric wheelchair, a vector of information on the context given by a set of sensors and a joystick for security actions; The output is a corresponding command and a set of indicator LED (Light Emitting Diodes). The system is developed in order to be installed on the wheelchair. Therefore it should be easy to carry, no bulky, with low power consumption, and easy in operation.

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“…It refers to all the signals that are being generated from human body or any other living organism in order to obtain certain useful information. These bio-signals include electroencephalogram (EEG), electrooculography (EOG), electrocardiography (ECG), and electromyography (EMG) [1,2].…”

Section: Introductionmentioning

confidence: 99%

Simulation analysis of different strength levels of EOG signals

Noor

Ahmad

2012

2012 International Conference on Computer and Communication Engineering (ICCCE)

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This paper described the signal from the eye muscles that is called electrooculogram which is generated at different eye movement's directions and levels. The eye movement signal data is captured by using Al/AgCl electrodes and passed through the g.USBamp from G.TEC Medical Engineering GMBH eye movement data collection. The eye movement data is passed to the Matlab/Simulink software for data analysis. The electrooculography (EOG) signals are obtained from four (4) different places around eye (right, left, up, and down) with different level of strengths will produce different strength of EOG signal. The EOG data obtained could be very helpful in many applications such as in the field of rehabilitation for example as a communication tool to operate a wheelchair among tetraplegia.

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Wheelchair for physically disabled people with voice, ultrasonic and infrared sensor control

Cited by 76 publications

References 12 publications

Application of Ultrasonic Sensors in Road Surface Condition Distinction Methods

Application of Ultrasonic Sensors in Road Surface Condition Distinction Methods

New speech processor and ultrasonic sensors based embedded system to improve the control of a motorised wheelchair

Simulation analysis of different strength levels of EOG signals

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