Evaluating Wearable Activity Recognition and Fall Detection Systems-Reference-Cited by-同舟云学术

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Evaluating Wearable Activity Recognition and Fall Detection Systems

Published:2015 Issue: Volume: Page:653-656
ISSN:1680-0737
Container-title:IFMBE Proceedings
language:
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Author:

Álvarez-García Juan Antonio,Soria Morillo Luis Miguel,de La Concepción Miguel Ángel Álvarez,Fernández-Montes Alejandro,Ortega Ramírez Juan Antonio

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-11128-5_163

Cited by 6 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. A Cost-Effective Fall-Detection Framework for the Elderly Using Sensor-Based Technologies;Sustainability;2023-02-22

2. Performance enhancement of human activity recognition and fall related system using multi-modal broad learning system (mBLS);INTELLIGENT BIOTECHNOLOGIES OF NATURAL AND SYNTHETIC BIOLOGICALLY ACTIVE SUBSTANCES: XIV Narochanskie Readings;2023

3. Log-Sum Distance Measures and Its Application to Human-Activity Monitoring and Recognition Using Data From Motion Sensors;IEEE Sensors Journal;2017-07-15

4. Mobile activity recognition and fall detection system for elderly people using Ameva algorithm;Pervasive and Mobile Computing;2017-01

5. Semi-Automatic Extraction of Training Examples From Sensor Readings for Fall Detection and Posture Monitoring;IEEE Sensors Journal;2016-07

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