Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …
disease diagnosis are growing fields with the potential to provide efficient means for remote …
Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges
Speech is a powerful medium of communication that always convey rich and useful
information, such as gender, accent, and other unique characteristics of a speaker. These …
information, such as gender, accent, and other unique characteristics of a speaker. These …
Insole-based systems for health monitoring: Current solutions and research challenges
Wearable health monitoring devices allow for measuring physiological parameters without
restricting individuals' daily activities, providing information that is reflective of an individual's …
restricting individuals' daily activities, providing information that is reflective of an individual's …
[PDF][PDF] IoMT-enabled fusion-based model to predict posture for smart healthcare systems
Smart healthcare applications depend on data from wearable sensors (WSs) mounted on a
patient's body for frequent monitoring information. Healthcare systems depend on multi-level …
patient's body for frequent monitoring information. Healthcare systems depend on multi-level …
Wearable inertial sensors for daily activity analysis based on adam optimization and the maximum entropy Markov model
SBUD Tahir, A Jalal, K Kim - Entropy, 2020 - mdpi.com
Advancements in wearable sensors technologies provide prominent effects in the daily life
activities of humans. These wearable sensors are gaining more awareness in healthcare for …
activities of humans. These wearable sensors are gaining more awareness in healthcare for …
A multiple multilayer perceptron neural network with an adaptive learning algorithm for thyroid disease diagnosis in the internet of medical things
Medical information systems such as Internet of Medical Things (IoMT) are gained special
attention over recent years. X-ray and MRI images are important sources of information to be …
attention over recent years. X-ray and MRI images are important sources of information to be …
Applying machine learning approach in recycling
Waste generation has been increasing drastically based on the world's population and
economic growth. This has significantly affected human health, natural life, and ecology. The …
economic growth. This has significantly affected human health, natural life, and ecology. The …
Human activity recognition with accelerometer and gyroscope: A data fusion approach
M Webber, RF Rojas - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper compares the three levels of data fusion with the goal of determining the optimal
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
An integration of feature extraction and guided regularized random forest feature selection for smartphone based human activity recognition
Abstract Human Activity Recognition (HAR) is an eminent area of research due to its
extensive scope of applications in remote health monitoring, sports, smart home, and many …
extensive scope of applications in remote health monitoring, sports, smart home, and many …
A deep learning approach for pressure ulcer prevention using wearable computing
In recent years, statistics have confirmed that the number of elderly people is increasing.
Aging always has a strong impact on the health of a human being; from a biological of point …
Aging always has a strong impact on the health of a human being; from a biological of point …