Analyzing Optimal Wearable Motion Sensor Placement for Accurate Classification of Fall Directions

Analyzing Optimal Wearable Motion Sensor Placement for Accurate Classification of Fall Directions

Falls represent a significant risk factor, necessitating accurate classification methods. This study aims to identify the optimal placement of wearable sensors—specifically accelerometers, gyroscopes, and magnetometers—for effective fall-direction classification. Although previous research identifie...

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Bibliographic Details
Main Authors: Sokea Teng, Jung-Yeon Kim, Seob Jeon, Hyo-Wook Gil, Jiwon Lyu, Euy Hyun Chung, Kwang Seock Kim, Yunyoung Nam
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
falls
optimal sensor
fall direction
classification
machine learning
feature extraction
Online Access:https://www.mdpi.com/1424-8220/24/19/6432
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