Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition

Design and Implementation of a Convolutional Neural Network on an Edge Computing Smartphone for Human Activity Recognition

Edge computing aims to integrate computing into everyday settings, enabling the system to be context-aware and private to the user. With the increasing success and popularity of deep learning methods, there is an increased demand to leverage these techniques in mobile and wearable computing scenario...

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Bibliographic Details
Main Authors: Tahmina Zebin, Patricia J. Scully, Niels Peek, Alexander J. Casson, Krikor B. Ozanyan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
edge computing
tensorflow lite
activity recognition
deep learning
Online Access:https://ieeexplore.ieee.org/document/8839782/

Internet

https://ieeexplore.ieee.org/document/8839782/

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