Human movement datasets: An interdisciplinary scoping review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
Improving activity recognition accuracy in ambient-assisted living systems by automated feature engineering
Ambient-assisted living (AAL) is promising to become a supplement of the current care
models, providing enhanced living experience to people within context-aware homes and …
models, providing enhanced living experience to people within context-aware homes and …
[HTML][HTML] IoT-FAR: A multi-sensor fusion approach for IoT-based firefighting activity recognition
Inadequate training poses a significant risk of injury among young firefighters. Although
Human Activity Recognition (HAR) algorithms have shown potential in monitoring and …
Human Activity Recognition (HAR) algorithms have shown potential in monitoring and …
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
E Zdravevski, B Risteska Stojkoska, M Standl… - PloS one, 2017 - journals.plos.org
Background Assessment of health benefits associated with physical activity depend on the
activity duration, intensity and frequency, therefore their correct identification is very valuable …
activity duration, intensity and frequency, therefore their correct identification is very valuable …
Heart rate variability and accelerometry as classification tools for monitoring perceived stress levels—a pilot study on firefighters
Chronic stress is the main cause of health problems in high-risk jobs. Wearable sensors can
become an ecologically valid method of stress level assessment in real-life applications. We …
become an ecologically valid method of stress level assessment in real-life applications. We …
Robust histogram-based feature engineering of time series data
E Zdravevski, P Lameski, R Mingov… - 2015 Federated …, 2015 - ieeexplore.ieee.org
Collecting data at regular time nowadays is ubiquitous. The most widely used type of data
that is being collected and analyzed is financial data and sensor readings. Various …
that is being collected and analyzed is financial data and sensor readings. Various …
Suppression of intensive care unit false alarms based on the arterial blood pressure signal
Patient monitoring in intensive care units requires collection and processing of high volumes
of data. High sensitivity of sensors leads to significant number of false alarms, which cause …
of data. High sensitivity of sensors leads to significant number of false alarms, which cause …
KnowledgePit meets BrightBox: A step toward insightful investigation of the results of data science competitions
We discuss the benefits of integrating the KnowledgePit data science competition platform
with the BrightBox technology aimed at diagnostics of machine learning models embedded …
with the BrightBox technology aimed at diagnostics of machine learning models embedded …
Towards application of non-invasive environmental sensors for risks and activity detection
A Dimitrievski, E Zdravevski, P Lameski… - 2016 IEEE 12th …, 2016 - ieeexplore.ieee.org
One of the main goals of Ambient Assisted Living (AAL) is to provide supportive environment
for the elderly or disabled. Such environments are not feasible without correctly identifying …
for the elderly or disabled. Such environments are not feasible without correctly identifying …
A versatile approach to classification of multivariate time series data
A Zagorecki - … Federated Conference on Computer Science and …, 2015 - ieeexplore.ieee.org
During the recent decade we have experienced a rise of popularity of sensors capable of
collecting large amounts of data. One of most popular types of data collected by sensors is …
collecting large amounts of data. One of most popular types of data collected by sensors is …