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7 articles for “Paralyzed”
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Sensible Machine ELMAN Network Neural System Using Brain Computing Interfaces
Abstract: Man–machine interface has been one of the growing fields of research and development in recent years. Most of the effort has been dedicated to the design of user-friendly or ergonomic systems by means of innovative interfaces such as voice recognition, virtual reality. A direct brain–computer interface (BCI) would add a new dimension to man–machine interaction. A brain–computer interface, sometimes called a direct neural interface or a brain machine interface, is …
Published in Journal of Open Source Developments · Vol. 3, Issue 1, 2016 · pp. 19–30 Read article
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Advancements in Smart Hand Gloves for Paralysis Rehabilitation: A Review
Abstract: With the help of Smart Hand Gloves, people with disabilities can live alongside healthy people. A deaf person can use this smart glove to translate his hand signals into text and voiceovers because they cannot speak. This makes it simpler for the typical person to understand what he is saying and to react accordingly. With the help of these smart gloves, people with physical limitations can live freely by being …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 19–24 Read article
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IoT-enabled Assistive Gloves for Individuals with Disabilities
Abstract: Every year, new technologies emerge, leaving varying degrees of impact on our daily lives, where some make a significant mark while others quickly fade into obscurity. Among the myriad of cutting-edge technologies, the Internet of Things (IoT) is particularly notable. In the present world, there are individuals who lack the ability to hear and speak, as well as those who face disabilities that hinder their social interactions. These individuals encounter …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article
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Muscle Computer Interface for Recovering People
Abstract: The muscle-computer interface (MCI) has emerged as a promising technology for enhancing the recovery process of individuals with paralyzed limbs or disabilities. This paper explores the application of MCI in the context of recovering people and addresses the challenges faced by such individuals. Traditional rehabilitation methods often have limitations in terms of engagement, feedback, and real-time interaction, which hinder the recovery progress. In response to these challenges, the proposed MCI …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 8–15 Read article
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Insightful Innovations: A Review of Eye-controlled Mouse Hardware Development
Abstract: Many people who suffer from neurological disorders or those who have been rendered paralyzed by an accident find it difficult to use computers for everyday chores like sending and receiving messages, browsing the internet, or watching their favorite TV series or films. A recent study focused on the topic and discovered that eyeballs are an excellent candidate for eye tracking because they move properly when working with hardware. By using …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 28–32 Read article
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Study on Neuralink Chip: Brain–Computer Interface
Abstract: Neuralink, established by Elon Musk in 2016, is a neurotechnology firm focused on creating advanced brain-machine interfaces (BMIs) with enhanced data transfer capabilities. These interfaces aim to enable individuals to communicate more effectively and gain a deeper understanding of interactions with computers and other devices. One of the company's best experiences is the development of a new implantable device called the Neuralink chip. The Neuralink chip is a small device …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 43–48 Read article
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Pattern Recognition of Finger Movements of Two Channel based Surface EMG Signals
Abstract: Surface EMG signal is widely used as a control signal for prosthetic device for the amputees or paralyzed able-bodied person with added advantage of being noninvasive and not painful. An ample amount of research on the prosthetic control of movements of forearm and hand is available in the literatures but few researches has been carried out for control of more dexterous individual and combined finger movements. The ability to precisely …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 7–14 Read article