Enhancing Multi-User Activity Recognition in an Indoor Environment with Augmented Wi-Fi Channel State Information and Transformer Architectures
MD Irteeja Kobir; Pedro Machado; Ahmad Lotfi; Daniyal Haider; Isibor Kennedy Ihianle · 2025 · Sensors
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Human Activity Recognition (HAR) is crucial for understanding human behaviour through sensor data, with applications in healthcare, smart environments, and surveillance. While traditional HAR often relies on ambient sensors, wearable devices or vision-based systems, these approaches can face limitations in dynamic settings and raise privacy concerns. Device-free HAR systems, utilising Wi-Fi Channel State Information (CSI) to human movements, have emerged as a promising privacy-preserving alternative for next-generation health activity monitoring and smart environments, particularly for multi-u
Abstract by MD Irteeja Kobir; Pedro Machado; Ahmad Lotfi; Daniyal Haider; Isibor Kennedy Ihianle, Sensors (2025) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/s25133955