Using mobile phones for activity recognition in Parkinson’s patients

Using mobile phones for activity recognition in Parkinson’s patients

Mobile phones with built-in accelerometers promise a convenient, objective way to quantify everyday movements and classify those movements into activities. Using accelerometer data we estimate the activities of 18 healthy subjects and 8 patients with Parkinson’s disease – e.g. walking, standing, sit...

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Bibliographic Details
Main Authors: Mark V Albert, Santiago eToledo, Mark eShapiro, Konrad eKoerding
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-11-01
Series:Frontiers in Neurology
Subjects:
machine learning
Parkinson's disease
accelerometer
activity recognition
mobile phone
Online Access:http://journal.frontiersin.org/Journal/10.3389/fneur.2012.00158/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fneur.2012.00158/full

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