Physical activity is a key factor in the treatment of chronic diseases such asdiabetes, cardiovascular disease, and depression. Doctors and personal trainershave limited methods to accurately monitor and classify a patients actual activi-ties based on training diaries and logs that are commonly used today. In this thesis,we apply a tri-axial accelerometer carried by a patient to collect data associated todifferent activities of daily life (ADL) and utilize deep learning (DL) algorithmsfor classifying distinct activities based on the data obtained from the accelerome-ter. Among various DL methods and algorithms, we adopt specifically deep neuralnetworks (DNN) and recurrent neural networks (RNN) to classify movement pat-terns. In addition, ...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
Activity recognition from wearable sensor data has been researched for many years. Previous works us...
Human motion analysis is the systematic study of human motion, which is employed for understanding t...
Physical inactivity increases the risk of many adverse health conditions, including the world’s majo...
Physical activity and mobility are important indicators of the recovery process of patients in the g...
Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve ...
The monitoring of physical activities and recognition of motion disorders belong to important diagno...
This study analyses numerous human activities and also classifies the activities based on their tra...
Classifying gestures or movements nowadays have become a demanding business as the technologies of s...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
In recent years, significant advancements have taken place in human activity recognition using vario...
This thesis proposes a method for mathematical modeling of human movements by using deep artificial ...
(1) Background: The success of physiotherapy depends on the regular and correct unsupervised perform...
Accelerometers are become ubiquitous and available in several devices such as smartphones, smartwach...
© 2018, International Association of Computer Science and Information Technology. Human activity rec...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
Activity recognition from wearable sensor data has been researched for many years. Previous works us...
Human motion analysis is the systematic study of human motion, which is employed for understanding t...
Physical inactivity increases the risk of many adverse health conditions, including the world’s majo...
Physical activity and mobility are important indicators of the recovery process of patients in the g...
Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve ...
The monitoring of physical activities and recognition of motion disorders belong to important diagno...
This study analyses numerous human activities and also classifies the activities based on their tra...
Classifying gestures or movements nowadays have become a demanding business as the technologies of s...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
In recent years, significant advancements have taken place in human activity recognition using vario...
This thesis proposes a method for mathematical modeling of human movements by using deep artificial ...
(1) Background: The success of physiotherapy depends on the regular and correct unsupervised perform...
Accelerometers are become ubiquitous and available in several devices such as smartphones, smartwach...
© 2018, International Association of Computer Science and Information Technology. Human activity rec...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
Activity recognition from wearable sensor data has been researched for many years. Previous works us...
Human motion analysis is the systematic study of human motion, which is employed for understanding t...