The ESP32 is a low-cost, dual-mode wireless microcontroller developed by Espressif Systems that integrates Wi-Fi and Bluetooth/BLE capabilities on a single chip, making it well-suited for wireless sensing and IoT applications. In Wi-Fi sensing research, it is commonly deployed as a compact and affordable hardware platform for capturing wireless packets — such as Wi-Fi Probe Requests and BLE advertisement frames — enabling passive occupancy estimation and related sensing tasks without requiring dedicated or expensive infrastructure. Its relevance to the field stems from its accessibility and flexibility, with variants such as the ESP32-S and ESP32-WROVER offering different form factors and memory configurations that support a range of sensing deployment scenarios.
Source Papers
- A Survey on Green Wireless Sensing: Energy-Efficient Sensing via WiFi CSI and Lightweight Learning ↗ — A Survey on Green Wireless Sensing: Energy-Efficient Sensing
- A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects ↗ — A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techni
- Accurate occupancy estimation with WiFi and bluetooth/BLE packet capture ↗ — Accurate occupancy estimation with WiFi and bluetooth/BLE pa
- Deep Learning-Enhanced Human Sensing with Channel State Information: A Survey ↗ — Deep Learning-Enhanced Human Sensing with Channel State Info
- Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing ↗ — Time matters: Empirical insights into the limits and challen
- Towards Energy Efficient Wireless Sensing by Leveraging Ambient Wi-Fi Traffic ↗ — Towards Energy Efficient Wireless Sensing by Leveraging Ambi
- Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free Crowd Counting and Localization ↗ — Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free