Elderly and visually impaired indoor activity monitoring based on Wi-Fi and Deep Hybrid convolutional neural network

K Deepa, N Bacanin, SS Askar, M Abouhawwash - Scientific Reports, 2023 - nature.com
A drop in physical activity and a deterioration in the capacity to undertake daily life activities
are both connected with ageing and have negative effects on physical and mental health. An …

Wi-Sense: A passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems

M Muaaz, A Chelli, MW Gerdes, M Pätzold - Annals of …, 2022 - Springer
A human activity recognition (HAR) system acts as the backbone of many human-centric
applications, such as active assisted living and in-home monitoring for elderly and physically …

Wi-monitor: Daily activity monitoring using commodity wi-fi

S Zhou, L Guo, Z Lu, X Wen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Daily activity monitoring is essential to healthy lifestyle assessment and personal healthcare,
among which Wi-Fi-based solutions have attracted increasing attention due to their no …

WiWave: WiFi-based human activity recognition using the wavelet integrated CNN

Y Mei, T Jiang, X Ding, Y Zhong… - 2021 IEEE/CIC …, 2021 - ieeexplore.ieee.org
Nowadays, WiFi-based human activity recognition (HAR), as a key enabler of building smart
home, has gained tremendous attention because of its superior properties such as privacy …

Human Activity Recognition via Score Level Fusion of Wi-Fi CSI Signals

G Lim, B Oh, D Kim, KA Toh - Sensors, 2023 - mdpi.com
Wi-Fi signals are ubiquitous and provide a convenient, covert, and non-invasive means of
recognizing human activity, which is particularly useful for healthcare monitoring. In this …

WiHAR: From Wi-Fi channel state information to unobtrusive human activity recognition

M Muaaz, A Chelli, M Pätzold - 2020 IEEE 91St vehicular …, 2020 - ieeexplore.ieee.org
A robust and unobtrusive human activity recognition system is essential to a multitude of
applications, such as health care, active assisted living, robotics, sports, and tele-immersion …

Device-free indoor human activity recognition using Wi-Fi RSSI: Machine learning approaches

CF Hsieh, YC Chen, CY Hsieh… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
A device-free methodology is proposed to recognize the human activity in indoor
environments using WiFi received signal strength indication (RSSI), and several machine …

IoT wearable sensor and deep learning: An integrated approach for personalized human activity recognition in a smart home environment

V Bianchi, M Bassoli, G Lombardo… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Human activity recognition (HAR) is currently recognized as a key element of a more
general framework designed to perform continuous monitoring of human behaviors in the …

WiFi CSI-based human activity recognition using deep recurrent neural network

J Ding, Y Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Human activity recognition based on channel state information (CSI) using commercial WiFi
devices plays an increasingly important role in many applications, such as smart home and …

Human Activity Recognition via Wi-Fi and Inertial Sensors with Machine Learning

W Guo, S Yamagishi, L Jing - IEEE Access, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) plays a crucial role in human-computer interaction, smart
home, health monitoring and elderly care. However, existing methods typically utilize …