Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors

Activity Recognition Invariant to Sensor Orientation with Wearable Motion Sensors

Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is of interest to develop wearable systems that operate invariantly to sensor posi...

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Bibliographic Details
Main Authors: Aras Yurtman, Billur Barshan
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Sensors
Subjects:
human activity recognition
wearable sensing
sensor orientation
orientation-invariant sensing
motion sensors
inertial sensors
accelerometer
gyroscope
magnetometer
singular value decomposition
machine learning
Bayesian decision making
k-nearest-neighbor classifier
support vector machines
artificial neural networks
Online Access:https://www.mdpi.com/1424-8220/17/8/1838

Internet

https://www.mdpi.com/1424-8220/17/8/1838

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