Carrying Position-Independent Ensemble Machine Learning Step-Counting Algorithm for Smartphones

Carrying Position-Independent Ensemble Machine Learning Step-Counting Algorithm for Smartphones

Current step-count estimation techniques use either an accelerometer or gyroscope sensors to calculate the number of steps. However, because of smartphones unfixed placement and direction, their accuracy is insufficient. It is necessary to consider the impact of the carrying position on the accuracy...

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Bibliographic Details
Main Authors: Zihan Song, Hye-Jin Park, Ngeemasara Thapa, Ja-Gyeong Yang, Kenji Harada, Sangyoon Lee, Hiroyuki Shimada, Hyuntae Park, Byung-Kwon Park
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
pedometer
step-count algorithm
smartphone
machine learning
wearable position
acceleration signal processing
Online Access:https://www.mdpi.com/1424-8220/22/10/3736

Internet

https://www.mdpi.com/1424-8220/22/10/3736

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