Android Smartphone Based Visual Object Recognition for Visually Impaired Using Deep Learning

Parikh, Neel; Shah, Ishita; Vahora, Safvan

doi:10.1109/iccsp.2018.8524493

Cited by 25 publications

(8 citation statements)

References 18 publications

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“…Advances in computer science have created a rise in artificial intelligence (AI) AT applications for smartphones, often for free (Kugler, 2020). These aim to assist with functions such as object identification, facial identification, emotion identification, typed and handwritten text reading, and scene description (Parikh et al, 2018;Qureshi et al, 2021). Moreover, AI technology is being used to create ATs to assist with social interaction (Microsoft, 2021;Salido et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Assessing people with visual impairments’ access to information, awareness and satisfaction with high-tech assistive technology

Liang¹,

Spencer

Scheller

et al. 2022

British Journal of Visual Impairment

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Assistive technology (AT) devices are designed to help people with visual impairments (PVIs) perform activities that would otherwise be difficult or impossible. Devices specifically designed to assist PVIs by attempting to restore sight or substitute it for another sense have a very low uptake rate. This study, conducted in England, aimed to investigate why this is the case by assessing accessibility to knowledge, awareness, and satisfaction with AT in general and with sensory restoration and substitution devices in particular. From a sample of 25 PVIs, ranging from 21 to 68 years old, results showed that participants knew where to find AT information; however, health care providers were not the main source of this information. Participants reported good awareness of different ATs, and of technologies they would not use, but reported poor awareness of specific sensory substitution and restoration devices. Only three participants reported using AT, each with different devices and varying levels of satisfaction. The results from this study suggest a possible breakdown in communication between health care providers and PVIs, and dissociation between reported AT awareness and reported access to AT information. Moreover, awareness of sensory restoration and substitution devices is poor, which may explain the limited use of such technology.

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Section: Discussionmentioning

confidence: 99%

Assessing people with visual impairments’ access to information, awareness and satisfaction with high-tech assistive technology

Liang¹,

Spencer

Scheller

et al. 2022

British Journal of Visual Impairment

View full text Add to dashboard Cite

show abstract

“…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%

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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“…The response is given to the user through vibration. Neel et al [21] have developed a model based on deep learning Convolutional Neural Network (CNN) technique for the recognition of objects. The user captures the video and the frame is sent as an input to the server for recognition and segmentation of an object.…”

Section: ) Non-vision-based Detection Devicesmentioning

confidence: 99%

Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy

Zafar

Asif²,

Ahmad³

et al. 2022

IEEE Access

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Visually impaired persons (VIPs) comprise a significant portion of the population and they are present in all corners of the world. In recent times, technology proved its presence in every domain of the life and innovative devices are assisting humans in all fields especially, artificial intelligence has dominated and outperformed rest of the trades. VIPs need assistance in performing daily life tasks like object/obstacle detection and recognition, navigation, and mobility, particularly in indoor and outdoor environments. Moreover, the protection and safety of these people are of prime concern. Several devices and applications have been developed for the assistance of VIPs. Firstly, these devices take input from the surrounding environment through different sensors e.g. infrared radiation, ultrasonic, imagery sensor, etc. In the second stage, state of the art machine learning techniques process these signals and extract useful information. Finally, feedback is provided to the user through auditory and/or vibratory means. It is observed that most of the existing devices are constrained in their abilities. The paper presents a comprehensive comparative analysis of the state-of-the-art assistive devices for VIPs. These techniques are categorized based on their functionality and working principles. The main attributes, challenges, and limitations of these techniques have also been highlighted. Moreover, a score based quantitative analysis of these devices is performed to highlight their feature enrichment capability for each category. It may help to select an appropriate device for a particular scenario.

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Android Smartphone Based Visual Object Recognition for Visually Impaired Using Deep Learning

Cited by 25 publications

References 18 publications

Assessing people with visual impairments’ access to information, awareness and satisfaction with high-tech assistive technology

Assessing people with visual impairments’ access to information, awareness and satisfaction with high-tech assistive technology

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

Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy

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