Voice Controlled Navigational Aid With RFID-based Indoor Positioning System for the Visually Impaired

Madrigal, Gilfred Allen M.; Boncolmo, Monica Lian M.; Santos, Melvin James C. Delos; Ortiz, Sarah Marie G.; Santos, Francis O.; Venezuela, Darlbeen L.; Velasco, Jessica S.

doi:10.1109/hnicem.2018.8666270

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…After the discussions with the VI persons, we found that for distant orientation, they need to get basic information about important elements of environment in range of 5-20 m. Obstacles that are located at a distance of less than 2 m can easily be detected with the help of a white cane. The similar solutions have been found in the review [22,50,56,57,59,60], where the users are using ultrasonic sensors that are placed on white cane or on a user's belt or jacket, and sensors operates in different directions with a range of up to 5 m. The authors of these solutions argue that such a distance is sufficient for decision making.…”

Section: Discussionmentioning

confidence: 61%

“…The number of tags required to use indoor navigation depends on the selected sensor's technology. For example, RFID tags can be active (operation range ≤ 40 m to ≤ 1 km [21]) or passive (operation range ≤ 0.5 m to ≤ 10 m [22]), and their count depends on the exact case requirements for accuracy. Active RFID tags have a much wider operating range.…”

Section: Non-camera-based Systemsmentioning

confidence: 99%

“…Low-cost microcontroller (Arduino or ARM-based) systems [26,28,43,56] are particularly attractive in the initial development phases. If the task requires more computational resources and flexibility [22,39,57], Raspberry Pi (https://www.raspberrypi.org/) systems are preferred. They allow implementations in the Python programming language.…”

Section: Computational Modulementioning

confidence: 99%

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Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs

Plikynas

Žvironas

Budrionis

et al. 2020

Sensors

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Currently, several outdoor navigation and orientation electronic traveling aid (ETA) solutions for visually impaired (VI) people are commercially available or in active development. This paper’s survey of blind experts has shown that after outdoor navigation, the second most important ETA feature for VI persons is indoor navigation and orientation (in public institutions, supermarkets, office buildings, homes, etc.). VI persons need ETA for orientation and navigation in unfamiliar indoor environments with embedded features for the detection and recognition of obstacles (not only on the ground but also at head level) and desired destinations such as rooms, staircases, and elevators. The development of such indoor navigation systems, which do not have Global Positioning System (GPS) locational references, is challenging and requires an overview and evaluation of existing systems with different navigation technologies. This paper presents an evaluation and comparison of state-of-the-art indoor navigation solutions, and the research implications provide a summary of the critical observations, some insights, and directions for further developments. The paper maps VI needs in relation to research and development (R&D) trends using the evaluation criteria deemed most important by blind experts.

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Section: Discussionmentioning

confidence: 61%

Section: Non-camera-based Systemsmentioning

confidence: 99%

Section: Computational Modulementioning

confidence: 99%

See 1 more Smart Citation

Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs

Plikynas

Žvironas

Budrionis

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…There is a lot of research on navigation systems, usually using five technologies: radio frequency identification (RFID), ultra-wideband (UWB), near-field communication (NFC), Bluetooth Low Energy (BLE), and infrared (IR) [3][4][5][6][7][8][9][10][11]. G. A. M. Madrigal et al [4] and C. M. Yang et al [7] adopted the RFID system to provide information about the user s location in indoor spaces. The SUGAR system [8] uses UWB for positioning, which performs with a high level of accuracy.…”

Section: Non-vision-based Systemsmentioning

confidence: 99%

Design and Implementation of an Intelligent Assistive Cane for Visually Impaired People Based on an Edge-Cloud Collaboration Scheme

Yan-qing

Zhang

et al. 2022

Electronics

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Visually impaired people face many inconveniences in daily life, and there are problems such as high prices and single functions in the market of assistance tools for visually impaired people. In this work, we designed and implemented a low-cost intelligent assistance cane, particularly for visually impaired individuals, based on computer vision, sensors, and an edge-cloud collaboration scheme. Obstacle detection, fall detection, and traffic light detection functions have been designed and integrated for the convenience of moving for visually impaired people. We have also designed an image captioning function and object detection function with high-speed processing capability based on an edge-cloud collaboration scheme to improve the user experience. Experiments show that the performance metrics have an aerial obstacle detection accuracy of 92.5%, fall detection accuracy of 90%, and average image retrieval period of 1.124 s. It proves the characteristics of low power consumption, strong real-time performance, adaptability to multiple scenarios, and convenience, which can ensure the safety of visually impaired people when moving and can help them better perceive and understand the surrounding environment.

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“…The challenge for telemedicine is to put emphasis on preventive medicine since the distance will no longer be a factor between patient and health professional. According to several studies, AI has been used in automatic screening of diabetic retinopathy [55], coordination and management of breast cancer [56], clinical deployment of prostate cancer diagnosis [57], detection and classification of chronic noncommunicable diseases [58], heart disease prediction [59], pneumonia detection [60], health screening [61], urinalysis examination [62], classification of skin diseases [63], and referral system [64] and voice controlled navigational aid [65] for visually impaired patients. Based on the studies, telemedicine can use AI for the purpose of diagnostics, communication of cure and medication, and monitoring of patients after surgery on the way to recovery or telerehabilitation after the pandemic [20], and before the pandemic [66].…”

Section: ) Artificial Intelligencementioning

confidence: 99%

Telemedicine Implementation Challenges in Underserved Areas of the Philippines

Cruz¹,

Tolentino²

2021

IJETAE

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During these difficult times of global pandemic, mobility restrictions and lockdowns were put in place to prevent an outbreak. However, patients with medical needs must deal with regular face-to-face consultations with physicians for their prescriptions and medications. It is important to review the various telemedicine research in the Philippines and abroad and how to formulate a national framework for telemedicine so the program can be implemented in the entire country. As a developing nation and an archipelago, the Philippines needs to work on massive infrastructure project for national broadband and health care facilities. The increase of medical professionals per 1000 of population and prevent them from migrations will help implement such innovation in medical field. A national policy to support the program in terms of funding and its transparency, establishment of processes and standards, and safeguarding digital information should be put in place. The country will need to address these gaps in technology and processes and encourage the population to partake in national health plans and initiatives to increase awareness and engagement of all stakeholders. Keywords— Challenges, Developing Countries, eHealth, Implementation, IoMT, Philippines, Rural, Telehealth, Telemedicine, Underserved

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Voice Controlled Navigational Aid With RFID-based Indoor Positioning System for the Visually Impaired

Cited by 7 publications

References 6 publications

Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs

Indoor Navigation Systems for Visually Impaired Persons: Mapping the Features of Existing Technologies to User Needs

Design and Implementation of an Intelligent Assistive Cane for Visually Impaired People Based on an Edge-Cloud Collaboration Scheme

Telemedicine Implementation Challenges in Underserved Areas of the Philippines

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