SenseWave turns your phone's Wi-Fi radio into a passive motion sensor — no camera, no microphone, complete privacy. It analyses RSSI fluctuations from nearby access points to detect movement, estimate breathing rate, track sleep quality, count people, and more.

EXPERIMENTAL SYSTEM — For education and research

How It Works:
• Monitors Wi-Fi signal strength (RSSI) in real-time
• Detects fluctuations caused by movement through the signal path
• DSP pipeline: Butterworth filtering + FFT + variance analysis
• No camera required — completely passive, privacy-safe sensing

7 Detection Modes:
• Radar — animated sweep, heatmap, motion history timeline
• Breathing — real-time BPM from 0.1–0.6 Hz band-pass filter
• Sleep — overnight restlessness tracking and hourly chart
• Walking — stride-frequency detection, steps/min via gait FFT
• People Counter — estimates 0–4+ occupants from variance
• Analytics — FFT spectrum, SNR, scan rate, CSV export
• Calibration — guided baseline calibration saved on-device

Important Limitations:
• Cannot identify WHO moved (person, pet, object)
• Cannot determine WHERE movement occurred
• Cannot measure distance to motion
• Subject to false positives from interference
• Accuracy varies by environment and wall materials
• Android limits Wi-Fi scan frequency

Privacy First:
• No camera or microphone access
• No data collection or transmission
• All processing 100% on-device
• No tracking, no analytics
• Works completely offline

Requirements:
• Android 8.0 or higher
• Physical Android device (emulator not supported)
• Wi-Fi enabled with at least one nearby access point
• Location permission (required by Android for Wi-Fi scanning)

Best For:
• Educational demonstrations of Wi-Fi physics
• Experimental motion and presence sensing projects
• Privacy-preserving occupancy detection
• Research into RF signal processing

SenseWave demonstrates Wi-Fi sensing principles using standard Android APIs. It is a learning tool and experiment — not a security system. Results vary based on environment, wall materials, and signal conditions.

Perfect for students, researchers, hobbyists, and anyone curious about Wi-Fi technology and signal processing!