Embedded Assistive Stick for Visually Impaired Persons

Sharma, Himanshu; Tripathi, Meenakshi; Kumar, Amit; Gaur, Manoj Singh

doi:10.1109/icccnt.2018.8493707

Cited by 36 publications

(18 citation statements)

References 7 publications

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“…Electronic Travel Aids (ETAs), proposed during the last years for assisting blind people, include a wide spectrum of sensors, feedback, and processors. The most common sensors are ultrasonic sensors [1][2][3][4][5], structured light cameras [6][7][8], stereo cameras [9,10], and monocular cameras [11]. Each sensor has some drawbacks that limit the functionality and pervasiveness of the system.…”

Section: Related Workmentioning

confidence: 99%

Vision‐Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way

2021

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Vision is the principal source of information of the surrounding world. It facilitates our movement and development of everyday activities. In this sense, blind people have great difficulty for moving, especially in unknown environments, which reduces their autonomy and puts them at risk of suffering an accident. Electronic Travel Aids (ETAs) have emerged and provided outstanding navigation assistance for blind people. In this work, we present the methodology followed for implementing a stereo vision-based system that assists blind people to wander unknown environments in a safe way, by sensing the world, segmenting the floor in 3D, fusing local 2D grids considering the camera tracking, creating a global occupancy 2D grid, reacting to close obstacles, and generating vibration patterns with an haptic belt. For segmenting the floor in 3D, we evaluate normal vectors and orientation of the camera obtained from depth and inertial data, respectively. Next, we apply RANSAC for computing efficiently the equation of the supporting plane (floor). The local grids are fused, obtaining a global map with data of free and occupied areas along the whole trajectory. For parallel processing of dense data, we leverage the capacity of the Jetson TX2, achieving high performance, low power consumption, and portability. Finally, we present experimental results obtained with ten (10) participants, in different conditions, with obstacles of different height, hanging obstacles, and dynamic obstacles. These results show high performance and acceptance by the participants, highlighting the easiness to follow instructions and the short period of training.

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Section: Related Workmentioning

confidence: 99%

Vision‐Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way

2021

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“…With regard to the former, in [30] the authors describe a smart cane composed of ultrasonic sensors that warns VIPs about their distance from obstacles. In [31], a cane with RFID tags is used (it is able to determine the posture of the user (seated or standing) through the Received Signal Strength Indicator (RSSI)), while in [32] an alert was added so that the person with disabilities can find it in case of losing it. Finally, it is worth citing reference [33], which shows a prototype glove that uses sensors for obstacle detection in combination with a WSN for location.…”

Section: A Wireless Communications and Location Systems For Impairedmentioning

confidence: 99%

Design and Experimental Validation of an Augmented Reality System With Wireless Integration for Context Aware Enhanced Show Experience in Auditoriums

et al. 2021

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“…Guide animals also require proper training and coordination with their owners which may not be perfect always. [3] Various prototypes have been designed over the years. Ultrasonic sensors, more than one, have been installed and the feedback is conveyed using vibration motors.…”

Section: A Literature Surveymentioning

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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Embedded Assistive Stick for Visually Impaired Persons

Cited by 36 publications

References 7 publications

Vision‐Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way

Vision‐Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way

Design and Experimental Validation of an Augmented Reality System With Wireless Integration for Context Aware Enhanced Show Experience in Auditoriums

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

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