Computer Vision and Iot Based Smart System for Visually Impaired People

Rao, S. Govinda; Singh, Vishwa Mohan

doi:10.1109/confluence51648.2021.9377120

Cited by 25 publications

(5 citation statements)

References 4 publications

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“…Frequency Reference T1 11 articles [46], [106], [51], [97], [109], [27], [54], [110], [82], [55], [114] T2 25 articles [32], [29], [62], [24], [34], [73], [48], [50], [39], [94], [40], [95], [42], [78], [67], [31], [101], [37], [103], [85], [38], [111], [112], [113], [115] T3 18 articles [86], [87], [88], [90], [71], [64], [93], [35], [72], [74], [36], [96], [98], [69], …”

Section: Work Principlesmentioning

confidence: 99%

“…Rao and Singh [93] highlighted smart shoes in two articles, proposing a shoe-mounted assistance system that uses IoT devices and sensors to enable obstacle detection, collision avoidance, and navigation. The system uses smartphone-based voice assistance to guide the user with haptic feedback.…”

Section: T2 -Navigationmentioning

confidence: 99%

“…[96], [98], [85], [116] [108], [78], [70] Smart Glasses 6 articles [86], [72], [99], [82] [59], [63] Arduino 5 articles [96], [44] [79], [70], [117] Smart Canes 3 articles [89], [69], [116] Smart Glove 2 articles [91], [75] Smart stick 2 articles [96], [85] Smart shoes 2 articles [93], [44] RFID 2 article [32], [31] BEACON 2 article [113] [71] users through a wearable device, which could potentially be connected to a smartphone. Shafique et al [75] provided a comprehensive overview of the Internet of Things (IoT) landscape, including its uses, challenges, and future prospects.…”

Section: Smart Phonesmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent Environments and Assistive Technologies For Assisting Visually Impairment People: A Systematic Literature Review

de Souza,

Francisco,

Tavares

et al. 2023

Preprint

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Intelligent Environments (IE) refer to fisical spaces imbued with pervasive and seamless intelligence, created to proactively support individuals in their daily routines. Developments in technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) have taken these environments from theoretical notions to practical realities. Simultaneously, the field of Ambient Assisted Living (AAL) has made significant strides. Evolving from Assistive Technology (AT), AAL represents an application of IE that specifically seeks to enable individuals —especially those with disabilities or the elderly— to lead healthier, more independent, and dignified lives through the assistance of technology integrated within their living environments. The confluence of IE and AAL has led to the rise of innovative solutions aimed at enhancing the lives of individuals with special needs,such as the Visually Impaired People (VIP). This research presents a systematic literature review investigating the utilization of IE, underpinned by AAL principles, in supporting VIPs. Initially, a pool of 14,760 studies was obtained from 9 databases, all published up to December 2022. After applying specific inclusion and exclusion criteria, this pool was reduced to 101 articles. Each of these articles was reviewed, analyzed, and categorized into four functional and operating principle categories to address five research questions. The study proposes multiple taxonomies as an approach to holistically synthesize the various technologies and devices categorized in the reviewed articles. Emerging research challenges and trends in this domain are highlighted, with a substantial trend being the escalating use of Deep Learning (DL) techniques. These techniques have been pivotal in the development of systems focused on object detection, path recognition, and navigation for devices, particularly smartphones, geared towards enhancing the lives of VIPs.

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Section: Work Principlesmentioning

confidence: 99%

Section: T2 -Navigationmentioning

confidence: 99%

Section: Smart Phonesmentioning

confidence: 99%

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Intelligent Environments and Assistive Technologies For Assisting Visually Impairment People: A Systematic Literature Review

de Souza,

Francisco,

Tavares

et al. 2023

Preprint

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“…This helps the user to understand the nature of the object they are about to touch. Smart shoes are also proposed in [16] and [28] where proximity sensors are attached to the shoe of the user for detecting nearby obstacles. In [25] a smart cap is proposed where the sensors are integrated in a hat and the information obtained is processed using a microprocessor.…”

Section: Information Transmissionmentioning

confidence: 99%

Smart Cap: A Sensor Based Low-Priced Assistant for the Blind and Visually Impaired People

Chakraborty¹

2022

Preprint

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“…In [6], the system embedded in the shoe detects the presence of an obstacle present at a certain distance and conveys the information either through a vibrator or audio message, and through the use of an alarm sound, the blind can detect the presence of an obstacle. An assistance system proposed in [7] uses computer vision algorithms which are written with certain functions such as obstacle detection, avoidance, and navigation. Here, the obstacle detection is performed by sensors present, and the presence is conveyed using smart phone audio which gives haptic feedback to the blind.…”

Section: Introductionmentioning

confidence: 99%