mCerebrum is a mobile phone software platform that can be used to collect both high-rate raw sensor data and associated labels in the field.
mCerebrum supports seamless sharing of streaming data from multiple sensors to enable computation of multi-sensor biomarkers (e.g., stress, smoking, eating) which can be remotely monitored through Cerebral Cortex.
mCerebrum supports real-time assessment of data quality to ensure data fidelity which is couple with Cerebral Cortex real-time montoring capabilities.
Cerebral Cortex supports population-scale data analysis and visualzation to enable marker development and validation.
mCerebrum aims to unleash a new wave of innovative research in the assessment and improvement of everyday job performance.
mCerebrum is architecturally scalable to support concurrent computation of a large number of biomarkers (each of which requires complex processing) without saturating the computational capacity or battery life of a mobile phone.
mCerebrum supports the sense-analyze-act paradigm to aid the development and evaluation of sensor-triggered interventions
mCerebrum allows for high-frequency raw sensor data collection (800+ Hz for 70+ million samples/day), processing, and storage (~2GB/day) and is coupled with Cerebral Cortex which scales to 1,000s of concurrent mCerebrum instances and 100s of terabytes of data.