Technical advisory for health technology teams working with wearable, laboratory, lifestyle, or behavioral data. Scope can include data design, modeling, evaluation, privacy, and the path from research prototype to product planning.
Selected publications, talks, and projects related to this area. Each link opens the work and its original source.
Dr. Omar Costilla Reyes’s 2018 University of Manchester PhD thesis applies machine learning to floor-sensor gait analysis for healthcare and security. Two floor sensors support one line of work on healthcare and one on biometric security.
This 2018 IEEE TPAMI paper verifies identity from footsteps recorded by a floor sensor, using deep residual neural networks. It evaluates a large footstep database from more than a hundred people.
A study of people with schizophrenia combines smartphone sensing, brief self-reports (EMA), and individual-level network analysis. It examines how behavior and reported experience relate over time.
Content on this site is for informational and professional purposes only and is not medical advice. AI systems discussed here require appropriate clinical, legal, regulatory, and safety review before healthcare deployment.