2016 · 69 citations · 8 references
ComputingHealth InformaticsAssistive TechnologyMobile ComputingMobile Health InformaticsAssistive DevicesAssistive Mobility DevicesMobile Human-computer InteractionMobility AidsSmart SensorsWearable Health TechnologiesAssistive Smart DevicesBluetooth Low EnergyBluetooth Low Energy SensingNaive BayesNaive Bayes ClassificationSmart Assistive DevicesWearable Assistive DevicesWearable Safety Devices
In this paper, an attempt has been made to develop a smart device that can assist women when they feel unsafe. This smart device will be clipped to the footwear of the user and can be triggered discreetly. On tapping one foot behind the other four times, an alert is sent via Bluetooth Low Energy communication to an application on the victim's phone, programmed to generate a message seeking help with the location of the device attached. The results obtained were analysed using Naïve Bayes classifier and this low cost device showed an overall accuracy of 97.5%.
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