Cycling Segments Multimodal Analysis and Classification Using Neural Networks

Cycling Segments Multimodal Analysis and Classification Using Neural Networks

This paper presents methodology for the processing of GPS and heart rate signals acquired during long-term physical activities. The data analysed include geo-positioning and heart rate multichannel signals recorded for 272.2 h of cycling across the Andes mountains over a 5694-km long expedition. The...

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Bibliographic Details
Main Authors: Aleš Procházka, Saeed Vaseghi, Hana Charvátová, Ondřej Ťupa, Oldřich Vyšata
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Applied Sciences
Subjects:
GPS data acquisition
heart rate analysis
neural computing
visualization
computational intelligence
classification
human–machine interaction
Online Access:http://www.mdpi.com/2076-3417/7/6/581

Internet

http://www.mdpi.com/2076-3417/7/6/581

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