Detecting activity locations from raw GPS data: a novel kernel-based algorithm

Title
Detecting activity locations from raw GPS data: a novel kernel-based algorithm
Authors
Keywords
Global Positioning System (GPS), Activity location detection, Kernel-based algorithm, Neighbourhood effects, MHealth, Activity space
Journal
Publisher
Springer Nature
Online
2013-03-17
DOI
10.1186/1476-072x-12-14

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now