Litcius/Paper detail

An end-to-end deep learning model for human activity recognition from highly sparse body sensor data in Internet of Medical Things environment

Mohammad Mehedi Hassan, Sana Ullah, M. Shamim Hossain, Abdulhameed Alelaiwi

2020The Journal of Supercomputing41 citationsDOI

Topics & Concepts

Computer scienceOverfittingActivity recognitionArtificial intelligenceDropout (neural networks)Deep learningWearable computerMachine learningInferenceArtificial neural networkPattern recognition (psychology)Embedded systemContext-Aware Activity Recognition SystemsIoT and Edge/Fog ComputingNon-Invasive Vital Sign Monitoring
An end-to-end deep learning model for human activity recognition from highly sparse body sensor data in Internet of Medical Things environment | Litcius