Deep learning in human activity recognition with wearable sensors: A review on advances
S Zhang, Y Li, S Zhang, F Shahabi, S ** the journey from data to wisdom
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …
healthcare, enabling a comprehensive understanding of patient health and personalized …
Human activity recognition based on multienvironment sensor data
With the development of artificial intelligence and the broad application of sensors, human
activity recognition (HAR) technologies based on noninvasive environmental sensors have …
activity recognition (HAR) technologies based on noninvasive environmental sensors have …
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …
healthcare applications due to the fast adoption of wearable sensors and mobile …
[HTML][HTML] Multi-source information fusion: Progress and future
Abstract Multi-Source Information Fusion (MSIF), as a comprehensive interdisciplinary field
based on modern information technology, has gained significant research value and …
based on modern information technology, has gained significant research value and …
Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …
people because of its ability to learn extensive high-level information about human activity …
[HTML][HTML] Hierarchical Harris hawks optimizer for feature selection
L Peng, Z Cai, AA Heidari, L Zhang, H Chen - Journal of Advanced …, 2023 - Elsevier
Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …
embedded methods. Because of its characteristics, the wrapper method must include a …
Dynamic vision-based machinery fault diagnosis with cross-modality feature alignment
Intelligent machinery fault diagnosis methods have been popularly and successfully
developed in the past decades, and the vibration acceleration data collected by contact …
developed in the past decades, and the vibration acceleration data collected by contact …
Wearable motion capture devices for the prevention of work-related musculoskeletal disorders in ergonomics—an overview of current applications, challenges, and …
Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability
worldwide and substantial societal costs. The use of wearable motion capture instruments …
worldwide and substantial societal costs. The use of wearable motion capture instruments …
Digital technologies in sports: Opportunities, challenges, and strategies for safeguarding athlete wellbeing and competitive integrity in the digital era
Digital technologies are revolutionizing operations across various industries, including the
sports sector. This study employed a mixed methods approach to investigate technology …
sports sector. This study employed a mixed methods approach to investigate technology …