The research behind the innovation.
Peer-reviewed research and technical papers on physiological biometrics, privacy-enhancing technology, and human verification.
A-GE: Privacy-Preserving Age Assurance via Fine-Grained Motion
Privacy-preserving age assurance derived from fine-grained motion on commodity IMU sensors — up to 93.8% accuracy, no identity revealed, running on-device across Android, iOS, and web.
A-Live: Passive Liveness Detection via Neuromuscular Micro-Motion Signatures on Commodity Sensors
Passive liveness detection from neuromuscular micro-motion read on commodity IMU sensors — 99.5%+ accuracy with no special hardware or user interaction.
From Mistrust to Confidence: How NeuroTech Improves Privacy for Mistrusted Digital Environments in a Formerly Incarcerated Population
How a NeuroTechnology privacy layer turns digital distrust into confidence for a formerly incarcerated population.
We Make a Nice Pair: Pairing the mID with a NeuroTechnology Privacy-Enhancing Technology Improves mID Download Intentions
Pairing a mobile ID with a NeuroTechnology privacy-enhancing technology measurably increases people's intention to adopt it.
Video conferencing during emergency distance learning impacted student emotions during COVID-19
Examines how video-conferencing during emergency distance learning affected students’ emotions during COVID-19.
Did zoom bomb? Negative video conferencing meetings during COVID-19 undermined worker subjective productivity
Finds that negative video-conferencing meetings during COVID-19 significantly undermined workers’ subjective productivity.
Remote working did not work! Online Privacy Breaches, Offline Consequences: Construction and Validation of the Concerns with the Protection of Informational Privacy Scale
Constructs and validates a new psychometric scale for people's concern over the protection of their informational privacy.
Cumulative word plot (945 responses) highlighting what people do not want to share online 
People want the choice of privacy