Cognitive_Intent_Aware_Smart_Plug_System
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