Stack LSTM-Based User Identification Using Smart Shoes with Accelerometer Data

Stack LSTM-Based User Identification Using Smart Shoes with Accelerometer Data

In this study, we propose a long short-term memory (LSTM)-based user identification method using accelerometer data from smart shoes. In general, for the user identification with human walking data, we require a pre-processing stage in order to divide human walking data into individual steps. Next,...

Full description

Bibliographic Details
Main Authors: Do-Yun Kim, Seung-Hyeon Lee, Gu-Min Jeong
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
stack LSTM
user identification
smart shoes
Online Access:https://www.mdpi.com/1424-8220/21/23/8129

Internet

https://www.mdpi.com/1424-8220/21/23/8129

Similar Items