A Robust and Device-Free System for the Recognition and Classification of Elderly Activities-Reference-Cited by-同舟云学术

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A Robust and Device-Free System for the Recognition and Classification of Elderly Activities

Published:2016-12-01 Issue:12 Volume:16 Page:2043
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Li Fangmin,Al-qaness Mohammed,Zhang Yong,Zhao Bihai,Luan Xidao

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/16/12/2043/pdf

Reference35 articles.

1. A Survey on Human Activity Recognition using Wearable Sensors

2. Sensor-Based Activity Recognition

3. Video-Based Human Activity Recognition Using Multilevel Wavelet Decomposition and Stepwise Linear Discriminant Analysis

4. Acoustic Sensor Based Recognition of Human Activity in Everyday Life for Smart Home Services

5. Accelerometer-based human activity recognition in smartphones for healthcare services;Torres-Huitzil;Mob. Health,2015

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1. Vision Transformers for Human Activity Recognition Using WiFi Channel State Information;IEEE Internet of Things Journal;2024-09-01

2. Wireless sensing applications with Wi-Fi Channel State Information, preprocessing techniques, and detection algorithms: A survey;Computer Communications;2024-08

3. Towards Energy Efficient Wireless Sensing by Leveraging Ambient Wi-Fi Traffic;Energies;2024-01-19

4. Exploring Elderly Activity Recognition Using Deep Learning Through Sensor-Enabled Android App Data Collection;2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T);2024-01-18

5. Self-attention mechanism-based activity and motion recognition using Wi-Fi signals;China Communications;2024

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