Publication | Closed Access
Phone-based gait analysis to detect alcohol usage
51
Citations
2
References
2012
Year
Unknown Venue
Gait AnalysisPhysical ActivityEngineeringBiometricsWearable TechnologyBehavior MonitoringHuman MonitoringKinesiologyData SciencePattern RecognitionAffective ComputingHealth SciencesGait AnomaliesAssistive TechnologyPhone-based SystemRehabilitationMobile ComputingAlcohol UsageMobile SensingHuman-computer InteractionHealth MonitoringPathological GaitHuman MovementActivity Recognition
This study proposes a phone-based system to detect the gait anomalies of a person waking under the influence of alcohol. This phone-based system can sense a person's alcohol usage and record the location/time context. This data can help identify problem drinking behaviors, such as drinking before work or before driving.
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