Design and Development of an Assistive System Based on Eye Tracking

Paing, May Phu; Juhong, Aniwat; Pintavirooj, C.

doi:10.3390/electronics11040535

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…Based on eye tracking, Paing et al (2022) developed an assistive mechanism for disabled patients. The assistive mechanisms were used on a large scale for the betterment of disabled individuals.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Navigation and Object Recognition for Visually Impaired Individuals: A Gradient Support Vector Boosting-based Crossover Golden Jackal Algorithm Approach

Abidi,

Alkhalefah,

Siddiquee

2024

Journal of Disability Research

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On a global scale, individuals with vision impairments encounter various limitations when it comes to moving around and finding their way independently. Their daily activities are impeded by their limited understanding of their environment while moving about both indoors and outside, where situations are constantly changing. Recent technological breakthroughs have made it possible to create several electronic devices that help visually impaired and disabled people with navigation. These devices encompass navigation systems, obstacle avoidance systems, object localization devices, and orientation assistance systems. They are designed to enhance or substitute conventional aids like guide dogs and white canes. This research work proposes a solution based on the gradient support vector boosting-based crossover golden jackal (GSB-CGJ) algorithm, which integrates various assistive technologies focused on navigation and object recognition, providing intelligent feedback to the user. The developed model focuses on guiding visually impaired individuals, preventing unwanted collisions with obstacles, and generating active feedback. The proposed method consists of three distinct phases. In the input phase, images are acquired from the Image and Video Dataset for Visually Impaired using Intel RealSense Camera. The next stage entails object recognition, which is efficiently carried out using the GSB-CGJ algorithm. The hyperparameters of the support vector machine and adaptive boosting methods are optimized using the golden jackal optimization method, enhancing object recognition ability. At the end, the output phase delivers feedback to the user. The experimental and assessment results validate that the model demonstrates high accuracy in recognizing objects and precision in localizing them. This approach effectively delivers remarkable real-time implementation capability, showcasing better adaptability and reliability while reducing execution time.

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing Navigation and Object Recognition for Visually Impaired Individuals: A Gradient Support Vector Boosting-based Crossover Golden Jackal Algorithm Approach

Abidi,

Alkhalefah,

Siddiquee

2024

Journal of Disability Research

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“…The researchers employed R-CNN with a database of 4000 images to detect the drug pills with a reported accuracy of 95.1%. Other medical systems to monitor glucose, and communicate with the caretakers of the person with disabilities were identified in the studies [90], [213]. Concerning this last study, the system allows to send notifications to smartphones and control a GUI to interact with home appliances.…”

Section: ) Activities Of Daily Living and Environmental Controlmentioning

confidence: 99%

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Ariza

Pearce

2022

IEEE Access

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Disabled People deal with a series of barriers that limit their inclusion, empowerment, wellbeing, and role in society with a special emphasis in low and medium-income countries. One of these barriers is concerning the accessibility and affordability of assistive technologies (ATs) that help to enhance the quality of life of these persons. In this context, this systematic literature review (SLR) analyzes and describes how free and open-source hardware (OSHW) and open software (OSS) are employed in the design, development, and deployment of low-cost ATs. In the SLR process, different ATs were analyzed for disabilities such as visual, mobility, upper body, prostheses, hearing & speaking, daily living, and participation in society. The ATs were designed with diverse OSHW and OSS technologies such as Arduino, Raspberry Pi, NVidia Jeston, OpenCV, YOLO, MobileNet, EEG and EMG signal conditioning devices, actuators, and sensors such as ultrasonic, LiDar, or flex. 809 studies were collected and analyzed from the database Web of Science, GitHub, and the specialized journals in OSHW HardwareX and the Journal of Open Hardware during the years 2013-2022. In the first part of the SLR, the bibliometric trends and topic clusters regarding the selected studies are described. Secondly, the ATs identified with open source technologies, e.g., sensor-based or computer vision-based, are described along with a complete state-ofart about these based on each disability recognized. Finally, the issues and challenges to this approach are explored including technical factors, documentation, government policies, and the inclusion of disabled people in open source co-creation. The purpose of this study is to inform practitioners, designers, or stakeholders about low-cost (frugal) ATs with OSHW and OSS, and thus promote their development, accessibility, and affordability, contributing to benefit the community of disabled people. INDEX TERMS Assistive technologies, disabled people, persons with disabilities, adaptive aids, open hardware, open-source hardware, open-source software, systematic literature review.

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“…Utilizing these interfaces makes the operation of electric wheelchair-mounted robotic arms accessible to patients with upper limb dysfunction [20][21][22]. However, let us consider an ADL scenario, having an electric wheelchair, with an attached robotic arm that aims to pick up objects from the floor or desk.…”

Section: Introductionmentioning

confidence: 99%

Electric Wheelchair Hybrid Operating System Coordinated with Working Range of a Robotic Arm

Yang

Guo

Sakamoto

et al. 2022

Journal of Robotics and Control

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Electric wheelchair-mounted robotic arms can help patients with disabilities to perform their activities in daily living (ADL). Joysticks or keypads are commonly used as the operating interface of Wheelchair-mounted robotic arms. Under different scenarios, some patients with upper limb disabilities such as finger contracture cannot operate such interfaces smoothly. Recently, manual interfaces for different symptoms to operate the wheelchair-mounted robotic arms are being developed. However, the stop the wheelchairs in an appropriate position for the robotic arm grasping task is still not easy. To reduce the individual’s burden in operating wheelchair in narrow spaces and to ensure that the chair always stops within the working range of a robotic arm, we propose here an operating system for an electric wheelchair that can automatically drive itself to within the working range of a robotic arm by capturing the position of an AR marker via a chair-mounted camera. Meanwhile, the system includes an error correction model to correct the wheelchair’s moving error. Finally, we demonstrate the effectiveness of the proposed system by running the wheelchair and simulating the robotic arm through several courses.

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Design and Development of an Assistive System Based on Eye Tracking

Cited by 9 publications

References 15 publications

Enhancing Navigation and Object Recognition for Visually Impaired Individuals: A Gradient Support Vector Boosting-based Crossover Golden Jackal Algorithm Approach

Enhancing Navigation and Object Recognition for Visually Impaired Individuals: A Gradient Support Vector Boosting-based Crossover Golden Jackal Algorithm Approach

Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review

Electric Wheelchair Hybrid Operating System Coordinated with Working Range of a Robotic Arm

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