Efficient FPGA Implementation of Multilayer Perceptron for Real-Time Human Activity Classification

The smartphone-based human activity recognition (HAR) systems are not capable to deliver high-end performance for challenging applications. We propose a dedicated hardware-based HAR system for smart military wearables, which uses a multilayer perceptron (MLP) algorithm to perform activity classifica...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 7; S. 26696 - 26706
Hauptverfasser:	Gaikwad, Nikhil B., Tiwari, Varun, Keskar, Avinash, Shivaprakash, N. C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Activity recognition Algorithms Classification classifier hardware implementation Computer architecture Datasets Entropy (Information theory) field programmable gate array Field programmable gate arrays Hardware Human activity recognition Mathematical model Moving object recognition multilayer perceptron Multilayer perceptrons Parallel processing Performance evaluation Power consumption Real-time systems Resource utilization smart military wearables Smart phones Topology
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!