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 …

[HTML][HTML] A review on deep learning techniques for IoT data

K Lakshmanna, R Kaluri, N Gundluru, ZS Alzamil… - Electronics, 2022 - mdpi.com
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …

Deep learning for computer vision: A brief review

A Voulodimos, N Doulamis, A Doulamis… - Computational …, 2018 - Wiley Online Library
Over the last years deep learning methods have been shown to outperform previous state‐of‐
the‐art machine learning techniques in several fields, with computer vision being one of the …

Deep learning for IoT big data and streaming analytics: A survey

M Mohammadi, A Al-Fuqaha, S Sorour… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

HF Nweke, YW Teh, MA Al-Garadi, UR Alo - Expert Systems with …, 2018 - Elsevier
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

[HTML][HTML] A comprehensive review of computer vision in sports: Open issues, future trends and research directions

BT Naik, MF Hashmi, ND Bokde - Applied Sciences, 2022 - mdpi.com
Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

Wearable sensors for real-time kinematics analysis in sports: A review

M Rana, V Mittal - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Wearable Inertial sensors have revolutionised the way kinematics analysis is performed in
sports. This paper aims to present a comprehensive review of the literature related to the use …

Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review

JG Claudino, DO Capanema, TV de Souza… - Sports medicine …, 2019 - Springer
Background The application of artificial intelligence (AI) opens an interesting perspective for
predicting injury risk and performance in team sports. A better understanding of the …

A comprehensive survey on imputation of missing data in internet of things

D Adhikari, W Jiang, J Zhan, Z He, DB Rawat… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is enabled by the latest developments in smart sensors,
communication technologies, and Internet protocols with broad applications. Collecting data …

A survey on video action recognition in sports: Datasets, methods and applications

F Wu, Q Wang, J Bian, N Ding, F Lu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …