基于非分布检测和CNN分类器的步态检测方法

IF 1.1 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-09 DOI:10.1002/tee.70036

Hidefumi Kamozawa, Takayoshi Yamahira, Motoshi Tanaka

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Method to Detect Only Registered Pedestrian Using Out-of-Distribution Detection and CNN Classifier with Footsteps

A method for detecting registered pedestrians using footstep sounds is investigated. Pre-trained persons were classified based on out-of-distribution detection and subsequently identified using a convolutional neural network classifier. As a training feature, the log mel-spectrogram is calculated by a time–frequency analysis of the footstep sounds. The evaluation test results with newly prepared footsteps indicated the feasibility of the proposed method. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

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来源期刊

IEEJ Transactions on Electrical and Electronic Engineering 工程技术-工程：电子与电气

CiteScore

2.70

自引率

10.00%

发文量

199

审稿时长

4.3 months

期刊介绍： IEEJ Transactions on Electrical and Electronic Engineering (hereinafter called TEEE ) publishes 6 times per year as an official journal of the Institute of Electrical Engineers of Japan (hereinafter "IEEJ"). This peer-reviewed journal contains original research papers and review articles on the most important and latest technological advances in core areas of Electrical and Electronic Engineering and in related disciplines. The journal also publishes short communications reporting on the results of the latest research activities TEEE ) aims to provide a new forum for IEEJ members in Japan as well as fellow researchers in Electrical and Electronic Engineering from around the world to exchange ideas and research findings.