Logah, Emelia (2025) Efficient Machine Learning for Wi-Fi CSI-based Human Activity Recognition Using Fast Monte Carlo based Feature Extraction. EAI Endorsed Transactions on Tourism, Technology and Intelligence.
![[thumbnail of 79205.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "79205.pdf")
PDF
79205.pdf
Download (4MB)
Abstract
High-dimensional doppler data extracted from Wi-Fi channel state information (CSI) offers distinctive velocity and time patterns that are useful for human activity recognition (HAR), but its scale poses significant challenges for real-time inference and deployment on resource-constrained devices. Th
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 20:14 |
| Last Modified: | 10 Apr 2026 18:19 |
| URI: | http://eprints.eai.eu/id/eprint/59861 |
Actions (login required)
- View Item