A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
[HTML][HTML] IMU-based motion capture system for rehabilitation applications: A systematic review
In recent years, the use of inertial measurement unit (IMU)-based motion capture (Mocap)
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …
systems in rehabilitation has grown significantly. This paper aimed to provide an overview of …
Optimal foot location for placing wearable IMU sensors and automatic feature extraction for gait analysis
Our aim is to maximize the interpretable information for gait analysis. To achieve this, it is
important to find the optimal sensor placement and the parameters that influence the …
important to find the optimal sensor placement and the parameters that influence the …
Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques
Abstract Machine based analysis and prediction systems are widely used for diagnosis of
Alzheimer's Disease (AD). However, lower accuracy of existing techniques and lack of post …
Alzheimer's Disease (AD). However, lower accuracy of existing techniques and lack of post …
Using inertial sensors to automatically detect and segment activities of daily living in people with Parkinson's disease
Wearable sensors such as inertial measurement units (IMUs) have been widely used to
measure the quantity of physical activities during daily living in healthy and people with …
measure the quantity of physical activities during daily living in healthy and people with …
Human activity recognition for production and logistics—a systematic literature review
This contribution provides a systematic literature review of Human Activity Recognition for
Production and Logistics. An initial list of 1243 publications that complies with predefined …
Production and Logistics. An initial list of 1243 publications that complies with predefined …
Comparison of offline and real-time human activity recognition results using machine learning techniques
Today's human activity recognition is an important part of healthcare and ambient-assisted
living where accelerometer and gyroscope sensors provide the raw data about physical …
living where accelerometer and gyroscope sensors provide the raw data about physical …
Discrete wavelet transform based data representation in deep neural network for gait abnormality detection
J Chakraborty, A Nandy - Biomedical Signal Processing and Control, 2020 - Elsevier
Detection of abnormal gait patterns using wearable sensors remains a major challenge in
clinical gait analysis and rehabilitation field. Despite the success of recent researches using …
clinical gait analysis and rehabilitation field. Despite the success of recent researches using …
The use of inertial measurement units for the study of free living environment activity assessment: A literature review
This article presents an overview of fifty-eight articles dedicated to the evaluation of physical
activity in free-living conditions using wearable motion sensors. This review provides a …
activity in free-living conditions using wearable motion sensors. This review provides a …
Multivariate analyses and classification of inertial sensor data to identify aging effects on the timed-up-and-go test
D Vervoort, N Vuillerme, N Kosse, T Hortobágyi… - PloS one, 2016 - journals.plos.org
Many tests can crudely quantify age-related mobility decrease but instrumented versions of
mobility tests could increase their specificity and sensitivity. The Timed-up-and-Go (TUG) …
mobility tests could increase their specificity and sensitivity. The Timed-up-and-Go (TUG) …