An On-Node Processing Approach for Anomaly Detection in Gait-Reference-Cited by-同舟云学术

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An On-Node Processing Approach for Anomaly Detection in Gait

Published:2015-11 Issue:11 Volume:15 Page:6640-6649
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Cola Guglielmo,Avvenuti Marco,Vecchio Alessio,Yang Guang-Zhong,Lo Benny

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/7225207/07180304.pdf?arnumber=7180304

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning;IFIP Advances in Information and Communication Technology;2024

2. Detecting Changes in Functional State: A Comparative Analysis Using Wearable Sensors and a Sensorized Tip;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Statistical Database of Human Motion Recognition Using Wearable IoT—A Review;IEEE Sensors Journal;2023-07-15

4. A Deep Learning Dual-Stream Framework for Fall Detection;2023 International Wireless Communications and Mobile Computing (IWCMC);2023-06-19

5. Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach;Neural Computing and Applications;2023-05-04

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