VCHAR: Variance-Driven Complex Human Activity Recognition framework with Generative Representation
Complex human activity recognition (CHAR) remains a pivotal challenge within ubiquitous
computing, especially in the context of smart environments. Existing studies typically require …
computing, especially in the context of smart environments. Existing studies typically require …
The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer
Abstract Background Human activity Recognition (HAR) using smartphone sensors suffers
from two major problems: sensor orientation and placement. Sensor orientation and sensor …
from two major problems: sensor orientation and placement. Sensor orientation and sensor …
Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey
Z Jiang, V Van Zoest, W Deng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Many countries around the world are facing a shortage of healthcare resources, especially
during the post-epidemic era, leading to a dramatic increase in the need for self-detection …
during the post-epidemic era, leading to a dramatic increase in the need for self-detection …
Applying deep learning-based human motion recognition system in sports competition
L Zhang - Frontiers in Neurorobotics, 2022 - frontiersin.org
The exploration here intends to compensate for the traditional human motion recognition
(HMR) systems' poor performance on large-scale datasets and micromotions. To this end …
(HMR) systems' poor performance on large-scale datasets and micromotions. To this end …
Hybrid deep learning model-based human action recognition in indoor environment
Human activity recognition (HAR) is an emerging challenge among researchers. HAR has
many possible uses in various fields, including healthcare, sports, and security. Furthermore …
many possible uses in various fields, including healthcare, sports, and security. Furthermore …
Human action recognition using ConvBiLSTM-GRU in indoor environment
Human Activity Recognition (HAR) is a significant challenge in research. Traditional pattern
recognition methods have faced limitations in terms of classification efficiency. In this paper …
recognition methods have faced limitations in terms of classification efficiency. In this paper …
Assessing the impact of body location on the accuracy of detecting daily activities with accelerometer data
Recent advancements in digital biomarkers have highlighted the importance of
accelerometer and gyroscope data for monitoring activities, identifying motion-related …
accelerometer and gyroscope data for monitoring activities, identifying motion-related …
Patient activity recognition for robust performance under varied illumination and cluttered background in indoor environment
Human Activity Recognition (HAR) holds significant importance in health and human-
machine interaction. However, recognizing actions from 2D information faces challenges …
machine interaction. However, recognizing actions from 2D information faces challenges …
Depth-based human action recognition using histogram of templates
M Younsi, S Yesli, M Diaf - Multimedia Tools and Applications, 2024 - Springer
In this paper, we propose an efficient, fast, and easy-to-implement method for recognizing
human actions in depth image sequences. In this method, the human body silhouettes are …
human actions in depth image sequences. In this method, the human body silhouettes are …
Neural networks based prayer monitoring and recognition framework
Daily prayer is an important part of every muslim around the globe and muslims makes up
24.7% of the world population. The rapid advancement in smartphones and wearable …
24.7% of the world population. The rapid advancement in smartphones and wearable …