Path and Floor Detection in Outdoor Environments for Fall Prevention of the Visually Impaired Population

Wang, Xin; Calderón, Juan M.; Khoshavi, Navid; Jaimes, Luis G.

doi:10.1109/ccnc49033.2022.9700646

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…• IEEE: 41 articles ( 40.6% of total) • Springer: 15 articles ( 14.8% of total) • ACM: 10 articles ( 9.9% of total) Deep Learning 63 articles [90], [106], [51], [97], [109], [81], [54], [110], [55], [114] Fig. 8: Publications made per functionality and working principles per year…”

Section: Other Smart Devicesmentioning

confidence: 99%

“…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%

See 1 more Smart Citation

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: Other Smart Devicesmentioning

confidence: 99%

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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show abstract

“…The World Health Organization (WHO) reports that globally, an estimated 285 million people are visually impaired, with 39 million experiencing complete blindness, while the remaining 217 million have varying degrees of visual impairment (Keel and Cieza, 2021). These statistics are based on the latest available report from 2021 (Wang et al ., 2022).…”

Section: Introductionmentioning

confidence: 99%

Improving social interaction of the visually impaired individuals through conversational assistive technology

Ghafoor,

Ahmad,

Aslam

et al. 2023

IJICC

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PurposeAssistive technology has been developed to assist the visually impaired individuals in their social interactions. Specifically designed to enhance communication skills, facilitate social engagement and improve the overall quality of life, conversational assistive technologies include speech recognition APIs, text-to-speech APIs and various communication tools that are real. Enable real-time interaction. Using natural language processing (NLP) and machine learning algorithms, the technology analyzes spoken language and provides appropriate responses, offering an immersive experience through voice commands, audio feedback and vibration alerts.Design/methodology/approachThese technologies have demonstrated their ability to promote self-confidence and self-reliance in visually impaired individuals during social interactions. Moreover, they promise to improve social competence and foster better relationships. In short, assistive technology in conversation stands as a promising tool that empowers the visually impaired individuals, elevating the quality of their social engagement.FindingsThe main benefit of assistive communication technology is that it will help visually impaired people overcome communication barriers in social contexts. This technology helps them communicate effectively with acquaintances, family, co-workers and even strangers in public places. By enabling smoother and more natural communication, it works to reduce feelings of isolation and increase overall quality of life.Originality/valueResearch findings include successful activity recognition, aligning with activities on which the VGG-16 model was trained, such as hugging, shaking hands, talking, walking, waving and more. The originality of this study lies in its approach to address the challenges faced by the visually impaired individuals in their social interactions through modern technology. Research adds to the body of knowledge in the area of assistive technologies, which contribute to the empowerment and social inclusion of the visually impaired individuals.

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“…Recent advancements in technology have paved the way for the development of intelligent or augmented white canes * Corresponding authors. that utilize image processing and deep learning techniques to aid individuals with low vision in obstacle avoidance, object detection [2], and indoor/outdoor navigation [3]. However, these systems have a limitation in that they do not provide a comprehensive perception of the surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Outdoor Mobility and Environment Perception for Visually Impaired Individuals Through a Customized CNN-based System

Ramachandran,

George

et al. 2023

IJACSA

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Visual impairment indicates any kind of vision loss including blindness. Individuals with visual impairments face significant challenges when trying to perceive their surroundings from a global perspective and navigating unfamiliar environments. Existing assistive technologies predominantly focus on obstacle avoidance, neglecting to provide comprehensive information about the overall environment. To address this gap, the proposed system employs a customized Convolutional Neural Network (CNN) model tailored to accurately predict the type of outdoor ground terrain the user is traversing. This information is then conveyed to the user audibly. It can also detect the presence of puddles on the road and let the user know whether the outside floor is wet (slippery). The proposed deeplearning architecture is trained on images collected from sources including the Stagnant Water dataset, the GTOS-Mobile dataset and a custom dataset. The trained model is then integrated into an Android app, providing visually impaired (VI) people with effective surrounding perception capabilities, leading to better travel and, ultimately, better living.

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Path and Floor Detection in Outdoor Environments for Fall Prevention of the Visually Impaired Population

Cited by 6 publications

References 20 publications

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

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

Improving social interaction of the visually impaired individuals through conversational assistive technology

Enhancing Outdoor Mobility and Environment Perception for Visually Impaired Individuals Through a Customized CNN-based System

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