.png){kind=icon}
返回
Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns
.png){kind=icon}
OA
AI
DOI：10.3390/s20236900.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This manuscript presents an approach to the challenge of biometric identification based on the acceleration patterns generated by a user while walking. The proposed approach uses the data captured by a smartphone's accelerometer and gyroscope sensors while the users perform the gait activity and optimizes the design of a recurrent neural network (RNN) to optimally learn the features that better characterize each individual. The database is composed of 15 users, and the acceleration data provided has a tri-axial format in the X-Y-Z axes. Data are pre-processed to estimate the vertical acceleration (in the direction of the gravity force). A deep recurrent neural network model consisting of LSTM cells divided into several layers and dense output layers is used for user recognition. The precision results obtained by the final architecture are above 97% in most executions. The proposed deep neural network-based architecture is tested in different scenarios to check its efficiency and robustness.
Keyword:
accelerometry
gait
walk
identification
recognition
recurrent neural network
LSTM
accuracy
smartphone
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
IDNet: Smartphone-based gait recognition with convolutional neural networks.png)
PATTERN RECOGNITIONOAAI
PATTERN RECOGNITIONIF7.6
OAAI分享收藏Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges人类步态研究的最新进展: 参数，方法，应用，机器学习技术，数据集和挑战
PREAI
分享收藏Gait-based identification for elderly users in wearable healthcare systemsINFORMATION FUSIONOAAI
INFORMATION FUSIONIF15.5
OAAI分享收藏Recurrent Neural Network for Inertial Gait User Recognition in Smartphones用于智能手机惯性步态用户识别的递归神经网络SENSORSOAAI
SENSORSIF3.5
OAAI分享收藏An integrated assessment of estrogenic contamination and biological effects in the aquatic environment of The NetherlandsChemosphere
ChemosphereIF0
PREAI
分享收藏
查看更多内容