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Wheeler chair control and driving assistance system aid by generative AI
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Abstract
Information
Inventors
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Specification
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ORDINARY APPLICATION
Published
Filed on 16 November 2024
Abstract
Abstract: The present invention is a wheeler chair control and driving assistance system aid by generative AI, a generative AI is poised to revolutionize wheelchair control and driving assistance systems, offering unprecedented levels of autonomy, accessibility, and safety for individuals with mobility impairments and by analysing brainwave patterns, eye movements, hand gestures, or voice commands, AI empowers users to control their wheelchairs intuitively. In driving assistance, AI-powered systems enable autonomous navigation through complex environments, adaptive cruise control for safe following distances, collision avoidance manoeuvres, and obstacle detection and avoidance and these systems can also learn and adapt to individual user preferences, providing personalized assistance and enhancing overall user experience therein, while technical and regulatory challenges remain, the potential of AI to improve the quality of life for individuals with disabilities is immense.
Patent Information
Application ID | 202441088714 |
Invention Field | BIO-MEDICAL ENGINEERING |
Date of Application | 16/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr. R. Maheswar | Professor, Department of ECE, KPR Institute of Engineering and Technology, Coimbatore | India | India |
Dr. N. Chandrasekharan | Senior Lecturer, School of Engineering, Asia Pacific University of Technology & Innovation (APU) Technology Park, Malaysia | India | India |
Dr. S. Rajasoundaran | Department of Computer Science, Samarkand International University of Technology, Samarkand | India | India |
Dr. K.C. Ramya | Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore | India | India |
Dr. S. Malathy | Professor, Department of ECE, Karpagam Academy of Higher Education, Echanari, Coimbatore | India | India |
Dr. M.R. Thiyagupriyadharsan | Assistant professor, School of EEE, VIT Bhopal University, Sehore | India | India |
Dr. K. Vishnu Murthy | Assistant Professor, Department of EEE, Sri Krishna College of Technology, Coimbatore | India | India |
Mr. N. Aravindhraj | Assistant Professor, Department of CSE, Kongu Engineering College, Erode | India | India |
Dr. V. Pandimurugan | Associate Professor, Department of CSE, Acharya Institute of Technology, Bangalore | India | India |
Ms. V. Mythily | Assistant Professor, Department of CSE, Nandha Engineering College, Erode | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Dr. R. Maheswar | Professor, Department of ECE, KPR Institute of Engineering and Technology, Coimbatore | India | India |
Dr. N. Chandrasekharan | Senior Lecturer, School of Engineering, Asia Pacific University of Technology & Innovation (APU) Technology Park, Malaysia | Malaysia | India |
Dr. S. Rajasoundaran | Department of Computer Science, Samarkand International University of Technology, Samarkand | Uzbekistan | India |
Dr. K.C. Ramya | Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore | India | India |
Dr. S. Malathy | Professor, Department of ECE, Karpagam Academy of Higher Education, Echanari, Coimbatore | India | India |
Dr. M.R. Thiyagupriyadharsan | Assistant professor, School of EEE, VIT Bhopal University, Sehore | India | India |
Dr. K. Vishnu Murthy | Assistant Professor, Department of EEE, Sri Krishna College of Technology, Coimbatore | India | India |
Mr. N. Aravindhraj | Assistant Professor, Department of CSE, Kongu Engineering College, Erode | India | India |
Dr. V. Pandimurugan | Associate Professor, Department of CSE, Acharya Institute of Technology, Bangalore | India | India |
Ms. V. Mythily | Assistant Professor, Department of CSE, Nandha Engineering College, Erode | India | India |
Specification
Description:Title of the invention:
Wheeler chair control and driving assistance system aid by generative AI
Field of the invention:
The present invention relates to the field of a wheel chair control and particularly relates to a wheeler chair control and driving assistance system aid by generative AI.
Prior art to the invention:
A patent document with application number "IN202341039138", titled "smart wheelchair empowered by internet of things and artificial intelligence", describes, "A proposal is made for a Smart Wheelchair equipped with an IoT-based interactive health monitoring system. This system enables live monitoring of various health parameters, such as temperature, pressure, fall detection, and an emergency notification button, specifically designed for elderly individuals. In the event of an emergency, the care taker is immediately notified, allowing them to provide instructions through an IoT app to an Alexa device connected to a camera and monitor within the wheelchair system. Moreover, the smart wheelchair assists the elderly in sitting down and getting up from a chair through the utilization of hydraulics. With its high accuracy and efficiency, this intelligent system offers valuable support to both the elderly and disabled individuals. The proposed Smart Wheelchair incorporates an array of sensors that continuously monitor body parameters. These sensors are connected to a central Raspberry Pi 4 unit. Additionally, an emergency notification system is in place to inform the care taker, who can then provide instructions using their Android mobile device to an Alexa device linked to a display with a camera within the wheelchair system. To facilitate easy seating and getting up, a mechanical hydraulics system has been designed to elevate the seat while sitting and aid in rising from the seat".
wherein, the present invention a wheeler chair control and driving assistance system aid by generative AI.
Objects of the invention:
The primary object of the present invention is a wheeler chair control and driving assistance system aid by generative AI.
Summary of the invention:
It is an aspects of the present disclosure is a wheeler chair control and driving assistance system aid by generative AI.
Detailed description:
The following specification particularly describes the invention and the manner in which it is to be performed.
The embodiment explores generative AI has the potential to revolutionize wheelchair control and driving assistance systems, offering unprecedented levels of autonomy, accessibility, and safety for individuals with mobility impairments. Here's a breakdown of how generative AI can be integrated into these systems: Generative AI algorithms can analyze brainwave patterns to interpret user intent, allowing for intuitive control of the wheelchair without physical input. AI-powered eye-tracking systems can detect where the user is looking, enabling them to control the wheelchair's direction and speed with simple eye movements. Generative AI can recognize hand gestures, allowing users to control the wheelchair with natural movements. AI-powered voice recognition systems can understand and execute voice commands, providing hands-free control.
Additional embodiments includes autonomous navigation: AI algorithms can analyze real-time sensor data (cameras, LiDAR, radar) to navigate complex environments, including crowded streets and obstacles. Adaptive cruise control: AI can adjust the wheelchair's speed to maintain a safe distance from other vehicles or pedestrians. Collision avoidance: AI-powered systems can detect potential collisions and take evasive maneuvers to prevent accidents. Obstacle detection and avoidance: AI can identify and navigate around obstacles, such as curbs, stairs, or uneven terrain.
Generative AI can learn and adapt to individual user preferences and needs, providing a tailored experience. AI-powered systems can monitor the user's condition and environment, alerting them to potential dangers and intervening if necessary. By providing greater autonomy and control, AI-powered wheelchairs and driving assistance systems can significantly improve the quality of life for individuals with mobility impairments. AI-powered systems raise ethical concerns regarding privacy, security, and potential biases in decision-making. Developing robust and reliable AI systems for wheelchair control and driving assistance requires significant technical expertise and resources. Regulations governing the use of AI in assistive technologies need to be developed and updated to ensure safety and accessibility. Generative AI has the potential to transform the lives of individuals with mobility impairments by enabling them to navigate the world with greater independence and safety. While challenges remain, continued research and development in this field hold the promise of a future where AI-powered assistive technologies are widely available and accessible. , Claims:Claims:
1) We claim,
A wheeler chair control and driving assistance system aid by generative AI, a method claim, a generative AI is poised to revolutionize wheelchair control and driving assistance systems, offering unprecedented levels of autonomy, accessibility, and safety for individuals with mobility impairments and by analysing brainwave patterns, eye movements, hand gestures, or voice commands, AI empowers users to control their wheelchairs intuitively,
wherein, in driving assistance, AI-powered systems enable autonomous navigation through complex environments, adaptive cruise control for safe following distances, collision avoidance manoeuvres, and obstacle detection and avoidance and these systems can also learn and adapt to individual user preferences, providing personalized assistance and enhancing overall user experience therein, while technical and regulatory challenges remain, the potential of AI to improve the quality of life for individuals with disabilities is immense.
Documents
Name | Date |
---|---|
202441088714-COMPLETE SPECIFICATION [16-11-2024(online)].pdf | 16/11/2024 |
202441088714-DECLARATION OF INVENTORSHIP (FORM 5) [16-11-2024(online)].pdf | 16/11/2024 |
202441088714-FORM 1 [16-11-2024(online)].pdf | 16/11/2024 |
202441088714-REQUEST FOR EARLY PUBLICATION(FORM-9) [16-11-2024(online)].pdf | 16/11/2024 |
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