A survey on deep learning for human activity recognition

F Gu, MH Chung, M Chignell, S Valaee… - ACM Computing …, 2021 - dl.acm.org
Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020 - ieeexplore.ieee.org
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor

MA Khatun, MA Yousuf, S Ahmed… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

Automated cognitive health assessment in smart homes using machine learning

AR Javed, LG Fahad, AA Farhan, S Abbas… - Sustainable Cities and …, 2021 - Elsevier
Abstract The Internet of Things (IoT) provides smart solutions for future urban communities to
address key benefits with the least human intercession. A smart home offers the necessary …

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi - Information Fusion, 2019 - Elsevier
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Advanced internet of things for personalised healthcare systems: A survey

J Qi, P Yang, G Min, O Amft, F Dong, L Xu - Pervasive and mobile …, 2017 - Elsevier
As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …

A collaborative healthcare framework for shared healthcare plan with ambient intelligence

AR Javed, MU Sarwar, MO Beg, M Asim… - … -centric Computing and …, 2020 - Springer
The fast propagation of the Internet of Things (IoT) devices has driven to the development of
collaborative healthcare frameworks to support the next generation healthcare industry for …

Human activity recognition using inertial sensors in a smartphone: An overview

W Sousa Lima, E Souto, K El-Khatib, R Jalali, J Gama - Sensors, 2019 - mdpi.com
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

A deep learning approach to on-node sensor data analytics for mobile or wearable devices

D Ravi, C Wong, B Lo, GZ Yang - IEEE journal of biomedical …, 2016 - ieeexplore.ieee.org
The increasing popularity of wearable devices in recent years means that a diverse range of
physiological and functional data can now be captured continuously for applications in …

A survey on activity detection and classification using wearable sensors

M Cornacchia, K Ozcan, Y Zheng… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …