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.
","abstract_html":"<p>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.</p>","abstract_has_math":false,"creators":["Trickler, Christopher"],"institution":null,"degree_name":"Master of Science in Computer Science (M.S.)","degree_level":"Thesis (open access)","degree_discipline":"Department of Computer Sciences","degree_department":null,"school":null,"contributors":["James Harris","Wen-Ran Zhang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-01-01T08:00:00Z","date_published":"2013-01-01T08:00:00Z","updated_at":"2026-07-24T02:27:41Z","subjects":["ETD","Self-Monitoring","Quantified Self","Data Mining","Sensor Fusion","Situational Awareness","Predictive Analytics","Behavior Monitoring","Computer and Systems Architecture","Data Storage Systems","Other Computer Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.georgiasouthern.edu/etd/897","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["James Harris","Wen-Ran Zhang"]},{"key":"dc:creator","label":"Author","values":["Trickler, Christopher"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2013-11-15T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Computer Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis (open access)"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Computer Science (M.S.)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["ETD","Self-Monitoring","Quantified Self","Data Mining","Sensor Fusion","Situational Awareness","Predictive Analytics","Behavior Monitoring","Computer and Systems Architecture","Data Storage Systems","Other Computer Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.georgiasouthern.edu/etd/897"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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.
"]},{"key":"dc:title","label":"Title","values":["Application of Self-Monitoring for Situational Awareness"]}]}],"canonical_facts":{"dc:contributor":["James Harris","Wen-Ran Zhang"],"dc:creator":["Trickler, Christopher"],"dc:date.available":["2013-11-15T08:00:00Z"],"dc:description.abstract":["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.
"],"dc:identifier":["https://digitalcommons.georgiasouthern.edu/etd/897"],"dc:subject":["ETD","Self-Monitoring","Quantified Self","Data Mining","Sensor Fusion","Situational Awareness","Predictive Analytics","Behavior Monitoring","Computer and Systems Architecture","Data Storage Systems","Other Computer Engineering"],"dc:title":["Application of Self-Monitoring for Situational Awareness"],"thesis:degree_discipline":["Department of Computer Sciences"],"thesis:degree_level":["Thesis (open access)"],"thesis:degree_name":["Master of Science in Computer Science (M.S.)"]},"updated_at":"2026-07-24T02:27:41Z"}