Cognitive_Intent_Aware_Smart_Plug_System

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Authors: Srihari Srihari ganesh
Cited by: 0

Abstract

This work presents a conceptual and design-oriented study focused on the development of an intelligent system aimed at improving user awareness and safety in everyday environments. The proposed framework integrates sensing mechanisms, behavioral inference, and system-level decision logic to identify active and inactive states of connected devices. The study emphasizes low-cost implementation, human-centered design, and practical deployability. Rather than claiming empirical completeness, this paper aims to establish a theoretical foundation and design rationale that may guide future experimental validation and real-world applications. The work is positioned as an early-stage research contribution and a basis for further academic and technological exploration.

Fields of Study & Subjects

Context-Aware Activity Recognition Systems IoT-based Smart Home Systems Smart Grid Energy Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Language
EN
Document type
Preprint