Author: Chris Trickler, M.S. C.S. Candidate – Georgia Southern University


Self-monitoring devices and services are used for physical wellness, personal tracking and self- improvement. These individual devices and services can only provide information based on what they can measure directly or historically without an intermediate system. This paper proposes a self-monitoring system to perform situational awareness which may extend into providing insight into predictable behaviors. Knowing an individual’s current state and likelihood of particular behaviors occurring is a general solution. This knowledge-based solution derived from sensory data has many applications. The proposed system could monitor current individual situational status, automatically provide personal status as it changes, aid personal improvement, contribute to other self-monitoring systems, and enhance other life-tracking objectives.


Self-Monitoring, Quantified Self, Data Mining, Sensor Fusion, Situational Awareness, Predictive Analytics, Behavior Monitoring


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