passive-sensing

testSpectrogram is an open-source platform for wireless channel simulation, human/hand pose extraction, gesture spectrogram generation, and real-time gesture recognition based on millimeter-wave passive sensing and communication systems.

The Stanford Screenomics is an open-source Android app framework for capturing real-time digital trace data to support behavioral and health research.

The Stanford Screenomics is an open-source Android app framework for capturing real-time digital trace data to support behavioral and health research.

Through-wall human presence detection via WiFi CSI — ESP32-WROOM + Python aggregator with motion + respiration sensing

Detect upcoming depressive and manic episodes in patients with bipolar disorder

Self-supervised multimodal foundation model for longitudinal behavioral health: wearable + smartphone + climate, with fairness audit, climate-regime generalization, and integrated-gradients interpretability.

Passive motion and presence detection using WiFi RSSI variance — no extra hardware, works on any Mac

R package for processing and analysing mobile (passive) sensing data from m-Path Sense. The main task of mpathsenser is to read m-Path Sense JSON files into a database and provide several convenience functions to aid in data processing.

Multimodal state-space framework for modeling physiological-behavioral-environmental dynamics. Research prototype.

ESP32-C5 passive Wi-Fi sensor firmware for PROJECT BLACKSHEEP.

Passive distance and radial velocity estimation on the RFSoC 4x2.

tracing why days feel productive or unproductive by inferring structured explanations from passive signals using an explicit ontology.

I.V.E. Ingeniería variable emergente MALEVA

Analysis of the DynAMoND study