MACHINE LEARNING TECHNIQUES FOR LOCATION TRACKING

MACHINE LEARNING TECHNIQUES FOR LOCATION TRACKING

A device including one or more processors configured to obtain an motion dataset of the device; generate one or more parameters for a machine learning algorithm based on the motion dataset; generate a predicted device trajectory using the machine learning algorithm; determine an error value of the m...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHOI, Jeongsik, CHOI, Yang-Seok
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:A device including one or more processors configured to obtain an motion dataset of the device; generate one or more parameters for a machine learning algorithm based on the motion dataset; generate a predicted device trajectory using the machine learning algorithm; determine an error value of the machine learning algorithm using a cost function, wherein the error value is based on a difference between the predicted device trajectory and a reference trajectory; adjust the cost function to minimize the error value; generate one or more optimized parameters based on the adjusted cost function; and adjust the machine learning algorithm based on the one or more optimized parameters.