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Personalized Active Learner (PAL) is a wearable system for real-time,personalized, and context-aware health and cognition support. PAL's systemconsists of a wearable device, mobile app, cloud database, data visualizationweb app, and machine learning server. PAL's wearable device uses multi-modalsensors (camera, microphone, heart-rate) with on-device machine learning andopen-ear audio output to provide real-time and context-aware cognitive,behavioral and psychological interventions. PAL also allows users to track thelong-term correlations between their activities and physiological states tomake well-informed lifestyle decisions. In this paper, we present andopen-source PAL's system so that people can use it for health and cognitionsupport applications. We also open-source three fully-developed exampleapplications using PAL for face-based memory augmentation, contextual languagelearning, and heart-rate-based psychological support. PAL's flexible, modularand extensible platform combines trends in data-driven medicine, mobilepsychology, and cognitive enhancement to support data-driven and empoweringhealth and cognition applications.

PAL: A Wearable Platform for Real-time, Personalized and Context-Aware Health and Cognition Support