Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
The Stanford Screenomics is an open-source Android app framework for capturing real-time digital trace data to support behavioral and health research.
Detect upcoming depressive and manic episodes in patients with bipolar disorder
Supervised topic models of auditory verbal hallucination diaries. sLDA, LDA, BERTopic and Top2Vec against a TF-IDF baseline; the baseline wins.
Facial AU dynamics extraction (MediaPipe) + convolutional VAE phenotyping + speech fusion (OpenSMILE) for clinical interview analysis. R²=0.69 on synthetic data.
Privacy-preserving Flutter SDK for behavioral signals — typing, motion, attention
End-to-end behavioral prediction system using digital phenotyping. PyTorch Transformer (MAE 1.18) + Autoencoder anomaly detection. Docker-ready, FastAPI service.
Companion repository for the paper "Beyond Personalization: Cluster-Aware Shared Representation Learning for Wearable-Based Psychotic Relapse Detection"
Research-grade Python library for analyzing, modeling, and visualizing behavioral sensor data. It unifies data loaders, preprocessing, multiple modeling paradigms (Bernoulli autoregressive, NHPP-PELT, HMM variants, change-point detectors), analysis pipelines, and interactive visualizations into a single cohesive package.
Real-time AI stress tracker using mouse & keystroke dynamics. Privacy-first, local-only, and 100% offline.
Vigil — passive mental health diagnostics. Co-founder briefing site.
Machine learning models for schizophrenia relapse prediction using digital phenotyping and passive smartphone sensing.
An open-source prototype framework for smartphone-based digital phenotyping
DACON/ETRI ICTC code package for personalized digital bedtime routine modeling with ExtraTrees shrinkage
Home Assistant app: authenticated ingestion API, event store, feature engineering, coverage metrics and a read-only MCP server for Android timeline data. Experimental.
Deep learning-based mental stress detection and 12-24h forecasting from passive behavioral phone data. Android + PyTorch. Academic research prototype.
OSRP (Open Sensing Research Platform) - Complete multi-modal mobile sensing for academic research. Built for AWS. Open source.
A biometric layer for telehealth. Turns the face and voice already present in a video visit into quantified, quality-aware measurements — computed in the browser, never recorded. Measures contrasts that cancel confounds (left vs. right, early vs. late) and abstains when the signal does not qualify. Nonclinical research prototype.
Open-source image-analysis software for quantitative canopy cover, canopy greenness, and the CCGR index. Designed for crop science, plant phenotyping, and image-based phenology, Canopy CCGR offers reproducible measurements, multiple segmentation methods, live preview, and a Windows executable.
Termux-based Android event collector: offline-first SQLite outbox, idempotent authenticated batch upload to Home Assistant. Experimental.
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