Publication | Closed Access
Working-relationship detection from fitbit sensor data
14
Citations
2
References
2013
Year
Unknown Venue
EngineeringWearable TechnologyBehavior MonitoringHuman MonitoringData ScienceData MiningPattern RecognitionFitbit Sensor DataWorking-relationship DetectionHuman MotionWorking RelationshipStatisticsQuantified SelfIndustrial InformaticsHealth SciencesSensor Signal ProcessingKnowledge DiscoveryComputer ScienceInnovative WaySocial ComputingHuman-computer InteractionHealth MonitoringTechnologyActivity RecognitionData Modeling
This paper proposes an innovative way to detect working relationships by using only the step tracking data acquired from pedometers like Fitbit. The idea makes the cost of working-relationship detection much lower than that of previous approaches. We can find out if people have a working relationship and spend their daily lives together by making them wear a pedometer. Results of an experiment in Japan showed that this approach is very effective and practical. An organization's profile can be written automatically by analyzing the data.
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