An electronic walking stick for blinds

Chaurasia, Shashank; Kavitha, K. V. N.

doi:10.1109/icices.2014.7033988

Cited by 54 publications

(18 citation statements)

References 5 publications

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“…None of these works design the moving pattern of the user and designs the stick. As per the Table 1, [7] uses a GPS based walking stick that is with medium cost and hence the mass production is not that much feasible because of the latency involved in the system. Some of the works design a mobile app powered stick so that the mobile app controls the stick even through voice commands [8] and [9].…”

Section: B Literature Inferencementioning

confidence: 99%

An IoT-ML based Proactive Walking aid for the Visually Challenged

Malhotra,

Balasubramanian,

Sultana

2019

IJEAT

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The numbers of elderly people are rising in countries like India and China. Most of the elderly uses a walking stick for their commuting. Also blind peoples need a walking aid for their day to day life. This work mainly focuses on the design and development of a proactive walking aid for the blind and the elderly peoples. The stick is designed mainly using a ultrasonic sensors which is fit along with the existing hardware. This work analyses various difficulties that a person with disabilities faced in their life. So this work caters or handles most of the aspect an elderly or blind is needed using Internet of Things (IoT). Apart from the ultrasonic sensors it employs a buzzer that beeps when a person or object is approaching in front of the stick. Whenever a person with the stick get hit or stuck somewhere for a predefined time, then an alert along with the GPS coordinates sent to the emergency contact. Most of the literature supports a stick with reactive in nature, this work supports a proactive approach as it predicts the object at a distance rather than after it touches the stick. This system also employs machine learning algorithms to predict the nature of the person using the stick. Our results have shown that the stick can be the only aid that either an elderly or blind people can use.

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Section: B Literature Inferencementioning

confidence: 99%

An IoT-ML based Proactive Walking aid for the Visually Challenged

Malhotra,

Balasubramanian,

Sultana

2019

IJEAT

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“…Another system known as Sonic Path Finder shown in (Fig 2). by [4] which works based on ultrasound transmission and reception but it is not a hand held system, it is attached on the head of the user but is unable to provide the accurate path and the position of an obstacle. It is a secondary mobility aid for use by people with vision impairment.…”

Section: A Existing Technologiesmentioning

confidence: 99%

“…It is not suitable for anyone who does not have primary mobility skills. It is designed for use out-of-door in conjunction with a cane, guide dog or residual vision [4]. ETAs are general assistant devices to help visually impaired people avoid obstacles [5].…”

Section: A Existing Technologiesmentioning

confidence: 99%

Integrating Computer Vision and Natural Language Processing to Guide Blind Movements

Nkalubo¹

2019

Annals of Computer Science and Information Systems

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Vision is the most essential sense for human beings. Vision impairment is one of the most problems faced by the elderly. Blindness is a state of lacking the visual perception due to physiological or neurological factors. This paper presents a detailed systematic and critical review that explores the available literature and outlines the research efforts that have been made in relation to movements of the blind and proposes an integrated guidance system involving computer vision and natural language processing. An advanced Smartphone equipped with vision, language and intelligence capabilities is attached to the blind person in order to capture surrounding images and is then connected to a central server programmed with a faster region convolutional neural network algorithm and an image detection algorithm to recognize images and multiple obstacles. The server sends the results back to the Smartphone which are then converted into speech for the blind person's guidance.

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“…The power is given to system by using vcc and ground pin. Input/output pin are ECHO and TRIG pin [4].…”

Section: Ultrasonic Sensormentioning

confidence: 99%

“…However, users are taught for use of the white cane over periods of 100 hours. Many sophisticated devices, have been discovered and being used in the market for many years but lack usefulness, and as result they are not widely used [4]. In accordance with drawbacks of above technology, this paper provides a simple tool which can be easily affordable and widely available to blind people.…”

Section: Introductionmentioning

confidence: 99%

Automated Human Identification and Obstacle Avoidance for Visually Impaired

Kumari¹,

2018

IJET

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This paper provides a method for human identification and obstacle avoidance for visually impaired. Visually impaired people faces lots of difficulty in accomplishing their day to day activities. Among one such difficulty is to recognize the person, this paper comes up with a technique which will helps blind people to identify person approaching them. Here DWT technique is used for face recognition. In this technique the entire image is decomposed into discrete wavelet bands. From this bands required features of image is obtained. This features when subjected to classifier gives proper output by identifying the person. Another part of paper deals with obstacle avoidance by using a blind stick. Blind stick uses an ultrasonic sensor and PIR sensor that detect obstacle at a distance of 100 cm. This stick can be used as alert signal for blind people.

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An electronic walking stick for blinds

Cited by 54 publications

References 5 publications

An IoT-ML based Proactive Walking aid for the Visually Challenged

An IoT-ML based Proactive Walking aid for the Visually Challenged

Integrating Computer Vision and Natural Language Processing to Guide Blind Movements

Automated Human Identification and Obstacle Avoidance for Visually Impaired

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