A Pilot Study of the Efficiency of LSTM-Based Motion Classification Algorithms Using a Single Accelerometer

A Pilot Study of the Efficiency of LSTM-Based Motion Classification Algorithms Using a Single Accelerometer

Inertial sensors are widely used for classifying the motions of daily activities. Although hierarchical classification algorithms were commonly used for defined motions, deep-learning models have been used recently to classify a greater diversity of motions. In addition, ongoing studies are actively...

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Bibliographic Details
Main Authors:	Kyu-Young Kang, Seul-Gi Lee, Hyeon Kang, Jung-Gil Kim, Gye-Rae Tack, Jin-Seung Choi
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Applied Sciences
Subjects:	inertial sensor long short-term memory motion classification efficiency
Online Access:	https://www.mdpi.com/2076-3417/12/14/7243

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