Fuzzy logic web services for real-time fall detection using wearable accelerometer and gyroscope sensors-Reference-Cited by-同舟云学术

Fuzzy logic web services for real-time fall detection using wearable accelerometer and gyroscope sensors

Published:2020-06-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments
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Author:

Pandya Bhavesh¹,Pourabdollah Amir¹,Lotfi Ahmad¹

Affiliation:

1. Nottingham Trent University, Nottingham, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3389189.3397989

Reference23 articles.

1. IEEE 1855™: The First IEEE Standard Sponsored by IEEE Computational Intelligence Society [Society Briefs]

2. Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection

3. Alan K Bourke and Gerald M Lyons. 2008. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Medical engineering & physics 30 1 (2008) 84--90. Alan K Bourke and Gerald M Lyons. 2008. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Medical engineering & physics 30 1 (2008) 84--90.

4. Analysis of Public Datasets for Wearable Fall Detection Systems

5. Enhanced characterization of an accelerometer-based fall detection algorithm using a repository

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