Abnormal Gait Recognition Algorithm Based on LSTM-CNN Fusion Network

Abnormal Gait Recognition Algorithm Based on LSTM-CNN Fusion Network

This paper presents a novel approach to human gait analysis with a sensor-based technique involving a wearable inertial measurement unit (IMU). The proposed system emphasizes the detection of certain abnormal gait patterns, including hemiplegic, tiptoe, and cross-threshold gait. First, we use the dy...

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Bibliographic Details
Main Authors: Jing Gao, Peishang Gu, Qing Ren, Jinde Zhang, Xin Song
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
dynamic step conjugate gradient algorithm
gait feature information location
long short-term memory network
wireless body area network
Online Access:https://ieeexplore.ieee.org/document/8886414/

Internet

https://ieeexplore.ieee.org/document/8886414/

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