2019 · 16 citations · 1 references
ComputingComputer ScienceComputer SystemsEdge ComputingInternet Of ThingsSensorsConstruction Site SafetyDeep LearningIot SensorsSensor NetworksSmart SensorsWireless Sensor NetworksAccelerometer SensorsDeep Learning For Fall DetectionDeep Learning For IotFall Detection SystemsMachine Learning For Fall DetectionSensor Network ArchitecturesSensor-based Fall MonitoringZigbee
In this paper, we implemented a service that supports the safety situation of the construction site using IoT sensor network that prevents the dangerous situation of workers. We built a sub-1ghz based Zigbee SensorTags and Edge Routers for sensor networks which is suitable for construction sites. Using the gyroscope and accelerometer data of the wearable device, it provides a safety service that detects worker's falls using Deep Learnings. Using Deep Learning networks falls detection performance was achieved above 94%.
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