Using Multivariate Outliers from Smartphone Sensor Data to Detect Physical Barriers While Walking in Urban Areas

Using Multivariate Outliers from Smartphone Sensor Data to Detect Physical Barriers While Walking in Urban Areas

Nowadays, our mobile devices have become smart computing platforms, incorporating a wide number of embedded sensors such as accelerometers, gyroscopes, barometers, GPS receivers, and magnetometers. Smartphones are valuable devices for gathering user-related data and transforming it into value-added...

Full description

Bibliographic Details
Main Authors: Ramona Ruiz Blázquez, Mario Muñoz-Organero
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Technologies
Subjects:
multivariate outliers
machine learning
SVM
mobile sensor data
Online Access:https://www.mdpi.com/2227-7080/8/4/58

Internet

https://www.mdpi.com/2227-7080/8/4/58

Similar Items