Non-Invasive Safety Monitoring via Integrated Sensing and Communication
| Title | Non-Invasive Safety Monitoring via Integrated Sensing and Communication |
|---|---|
| Summary | Smart sensing for motion, presence, and accident detection—without cameras |
| Keywords | ISAC, IoT, Networking, SensingProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user. |
| TimeFrame | Fall 2025 - Spring 2026 |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Oscar Amador Molina |
| Level | Master |
| Status | Open |
Research question:
How can Integrated Sensing and Communication (ISAC) using Wi-Fi (802.11 b/g/n), Bluetooth RSSI, and sensor-equipped ESP32-C3 devices be used to detect motion, presence, and accidents in a non-invasive way to improve safety for elderly individuals living alone?
Focus:
The project is primarily software-oriented, with some hardware integration involving ESP32-C3 microcontrollers and basic sensors.
Work packages:
WP1: Wi-Fi Sensing – Analyze 802.11 access-layer data (e.g., RSSI) to infer motion and presence.
WP2: Bluetooth RSSI Communication – Use BLE RSSI for proximity detection and device-to-device signaling.
WP3: Sensor Integration – Connect motion and environmental sensors to ESP32-C3 devices and develop logic for accident detection.
WP4: System Coordination – Enable communication between devices to share sensing data and trigger alerts.
Deliverables/outcomes/results:
A set of prototype systems demonstrating motion, presence, and accident detection. Evaluation of detection accuracy and system responsiveness in a simulated home environment.
