Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022 - Elsevier
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Deep learning in human activity recognition with wearable sensors: A review on advances

S Zhang, Y Li, S Zhang, F Shahabi, S Xia, Y Deng… - Sensors, 2022 - mdpi.com
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Sensor-based and vision-based human activity recognition: A comprehensive survey

LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon - Pattern Recognition, 2020 - Elsevier
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

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 …

A survey on video-based human action recognition: recent updates, datasets, challenges, and applications

P Pareek, A Thakkar - Artificial Intelligence Review, 2021 - Springer
Abstract Human Action Recognition (HAR) involves human activity monitoring task in
different areas of medical, education, entertainment, visual surveillance, video retrieval, as …

A federated learning system with enhanced feature extraction for human activity recognition

Z Xiao, X Xu, H Xing, F Song, X Wang… - Knowledge-Based Systems, 2021 - Elsevier
With the rapid growth of mobile devices, wearable sensor-based human activity recognition
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …

Deep learning models for real-time human activity recognition with smartphones

S Wan, L Qi, X Xu, C Tong, Z Gu - mobile networks and applications, 2020 - Springer
With the widespread application of mobile edge computing (MEC), MEC is serving as a
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …

Triboelectric nanogenerator based self-powered sensor for artificial intelligence

Y Zhou, M Shen, X Cui, Y Shao, L Li, Y Zhang - Nano Energy, 2021 - Elsevier
Triboelectric nanogenerator based sensor has excellent material compatibility, low cost, and
flexibility, which is a unique candidate technology for artificial intelligence. Triboelectric …

Machine learning algorithms for wireless sensor networks: A survey

DP Kumar, T Amgoth, CSR Annavarapu - Information Fusion, 2019 - Elsevier
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …

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 …