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@article{209297,
        author = {S.MOHAN},
        title = {IoB is extension of IoT (AIoT)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {5},
        pages = {1419-1423},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=209297},
        abstract = {An IoB (AIoT) is indeed an extension of IoT as it focusses a collection and analysis of data related to human activities. IoB leverage various technologies such as sensor, wearable devices, AI and Big data analytics to monitor and interpreter behavioral pattern. Data collection in IoB is done through source like wearable technologies and individual on-line activities and home hold electronics devices. the collected data is then processed and analyzing using advanced analytical tools and algorithms with machine learning and AI playing a significant role in identify patterns and trends with in behavioral data IoB aims to create detailed profile of individual based on their behavior which can then be used for personalized experience and services the IoB focus an collection and analysis human behaviors data to influence action and improve user experience across various sectors it integrated IoT technologies to gather the data from devices and user interaction enabling targeted intervention based on behavioral pattern . this relationship highlights the complimentary nature of IoB and IoT as both technologies work together to enhance data-driven and decision-making and user engagements.},
        keywords = {IoT, Iob, AIoT, ML, DL},
        month = {October},
        }