{"title":"人工智能聊天机器人利用 VEO 优化节点和自然语言处理技术增强视障人士的室内导航能力","authors":"Nagaraju Thandu, Murugeswari R","doi":"10.2174/0122103279287315240327115754","DOIUrl":null,"url":null,"abstract":"\n\nVisually impaired people face numerous challenges when it\ncomes to indoor navigation. While outdoor navigation benefits from advancements in GPS and related technologies, indoor spaces present intricate, complex, and often less accessible environments\nfor those with visual impairments.\n\n\n\nIn response to these challenges, we propose an innovative approach\nto enhance indoor navigation for individuals with visual impairments, leveraging the power of an\nAI chatbot. Our AI chatbot employs cutting-edge artificial intelligence techniques to provide realtime assistance and guidance, facilitating independent navigation within intricate indoor settings.\nBy harnessing natural language processing technologies, the chatbot engages in intuitive interactions with users, comprehending their queries and offering detailed instructions for efficient indoor\nnavigation. The main goal of this research is to enhance the independence of people with visual\nimpairments by offering them a reliable and easily accessible tool.\n\n\n\nThis tool, driven by our Volcano Eruption Optimization Network, promises to significantly enhance the independence and overall indoor navigation experience for visually impaired people, ultimately fostering a greater sense of autonomy in navigating complex indoor\nspaces.\n\n\n\nSelf-Attention-Based Multimodality Convolutional Volcano Eruption optimization\n\n\n\nOptimizing Weight Parameters with Volcano Eruption-Based Optimization (VEO)\n\n\n\nour AI chatbot-based approach presents a promising solution to the pressing issue of indoor navigation for individuals with visual impairments. We have successfully harnessed cutting-edge artificial intelligence techniques, including natural language processing and computer vision, to empower visually impaired users with real-time assistance and guidance within complex indoor environments.\n\n\n\nnone\n","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"6 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Indoor Navigation for Visually Impaired Individuals with an\\nAI Chatbot Utilizing VEO Optimized Nodes and Natural Language\\nProcessing\",\"authors\":\"Nagaraju Thandu, Murugeswari R\",\"doi\":\"10.2174/0122103279287315240327115754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nVisually impaired people face numerous challenges when it\\ncomes to indoor navigation. While outdoor navigation benefits from advancements in GPS and related technologies, indoor spaces present intricate, complex, and often less accessible environments\\nfor those with visual impairments.\\n\\n\\n\\nIn response to these challenges, we propose an innovative approach\\nto enhance indoor navigation for individuals with visual impairments, leveraging the power of an\\nAI chatbot. Our AI chatbot employs cutting-edge artificial intelligence techniques to provide realtime assistance and guidance, facilitating independent navigation within intricate indoor settings.\\nBy harnessing natural language processing technologies, the chatbot engages in intuitive interactions with users, comprehending their queries and offering detailed instructions for efficient indoor\\nnavigation. The main goal of this research is to enhance the independence of people with visual\\nimpairments by offering them a reliable and easily accessible tool.\\n\\n\\n\\nThis tool, driven by our Volcano Eruption Optimization Network, promises to significantly enhance the independence and overall indoor navigation experience for visually impaired people, ultimately fostering a greater sense of autonomy in navigating complex indoor\\nspaces.\\n\\n\\n\\nSelf-Attention-Based Multimodality Convolutional Volcano Eruption optimization\\n\\n\\n\\nOptimizing Weight Parameters with Volcano Eruption-Based Optimization (VEO)\\n\\n\\n\\nour AI chatbot-based approach presents a promising solution to the pressing issue of indoor navigation for individuals with visual impairments. We have successfully harnessed cutting-edge artificial intelligence techniques, including natural language processing and computer vision, to empower visually impaired users with real-time assistance and guidance within complex indoor environments.\\n\\n\\n\\nnone\\n\",\"PeriodicalId\":37686,\"journal\":{\"name\":\"International Journal of Sensors, Wireless Communications and Control\",\"volume\":\"6 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sensors, Wireless Communications and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0122103279287315240327115754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sensors, Wireless Communications and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0122103279287315240327115754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
Enhancing Indoor Navigation for Visually Impaired Individuals with an
AI Chatbot Utilizing VEO Optimized Nodes and Natural Language
Processing
Visually impaired people face numerous challenges when it
comes to indoor navigation. While outdoor navigation benefits from advancements in GPS and related technologies, indoor spaces present intricate, complex, and often less accessible environments
for those with visual impairments.
In response to these challenges, we propose an innovative approach
to enhance indoor navigation for individuals with visual impairments, leveraging the power of an
AI chatbot. Our AI chatbot employs cutting-edge artificial intelligence techniques to provide realtime assistance and guidance, facilitating independent navigation within intricate indoor settings.
By harnessing natural language processing technologies, the chatbot engages in intuitive interactions with users, comprehending their queries and offering detailed instructions for efficient indoor
navigation. The main goal of this research is to enhance the independence of people with visual
impairments by offering them a reliable and easily accessible tool.
This tool, driven by our Volcano Eruption Optimization Network, promises to significantly enhance the independence and overall indoor navigation experience for visually impaired people, ultimately fostering a greater sense of autonomy in navigating complex indoor
spaces.
Self-Attention-Based Multimodality Convolutional Volcano Eruption optimization
Optimizing Weight Parameters with Volcano Eruption-Based Optimization (VEO)
our AI chatbot-based approach presents a promising solution to the pressing issue of indoor navigation for individuals with visual impairments. We have successfully harnessed cutting-edge artificial intelligence techniques, including natural language processing and computer vision, to empower visually impaired users with real-time assistance and guidance within complex indoor environments.
none
期刊介绍:
International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.