Deep learning-based discriminant model for wearable sensing gait pattern
Journal Title: Wearable Technology - Year 2020, Vol 1, Issue 1
Abstract
In order to effectively improve the accuracy of identifying the gait pattern of wearable sensing data, this paper proposes a new model for deep learning gait mode discrimination that integrates convolutional neural network and long short-term memory neural network, which makes full use of the convolutional neural network to obtain the most local spatial characteristics of data and the long short-term memory neural network to obtain the inherent characteristics of the data, and effectively excavates the hidden high-dimensional, nonlinear, time-space gait characteristics of random wearable sensing timing gait data that are closely related to gait pattern changes, to improve the classification performance of gait mode. The effectiveness of the proposed model in this paper is evaluated using the HAR dataset from University of California UCI database. The experiment results showed that the proposed model in this paper can effectively obtain the time-space gait characteristics embedded in the wearable sensor gait data, and the classification accuracy can reach 91.45%, the precision rate 91.54%, and the recall rate 91.53%, and the classification performance is significantly better than that of the traditional machine learning model, which provides a new solution for accurately identifying the gait mode of wearable sensor data.
Authors and Affiliations
Qiaoling Tan, Jianning Wu
Keywords
Related Articles
- EP ID EP709927
- DOI 10.54517/wt.v1i1.1629
- Views 121
- Downloads 0
Overview of intelligent clothing and accessories technology system for the disabled
The purpose of this paper is to explore the application of intelligent technology in the industry of the disabled. Through the systematic review of databases (Redib, Doaj, Redalyc, BMJ, BVS, Dialnet and PubMed), 11 artic...
Ventricular assist device for advanced heart failure
Heart failure (HF) continues to be a highly prevalent disease, affecting 1–2% of the population in developed countries, therefore constitutes a health problem due to its high cost. Despite the progress made in drug trea...
Practical needs of oral prosthodontics in the field of health
Reason: Teeth, related to chewing, aesthetics and vocal function, are an essential element. Therefore, the absence of teeth is considered to lead to the deterioration of oral health. Objective: To determine the actual ne...
Progress in the study of enzyme-free glucose electrochemical sensors
The detection mechanism of enzyme-free glucose electrochemical sensors, the research progress of enzyme-free glucose sensors based on composite materials such as noble metals, transition metals and doped carbon nanomater...
Competitive advantage of wearable technology in sports training
This document outlines wearable technology and the sources, related topics and authors of major publications on this subject in recent years. It is worth mentioning that wearable or wearable technology is also called “we...