Results 41 to 50 of about 14,386,134 (294)
Context-Aware Human Activity Recognition in Industrial Processes
The automatic, sensor-based assessment of human activities is highly relevant for production and logistics, to optimise the economics and ergonomics of these processes.
Friedrich Niemann +3 more
doaj +1 more source
High Performance Activity Recognition Framework for Ambient Assisted Living in The Home Network Environment [PDF]
Activity recognition has recently been playing an important role in several research domains, especially within the healthcare system. It is important for physicians to know what their patients do in daily life.
Lim, Azman Osman +3 more
core +1 more source
State of the art on technological trends for the analysis of behavior and human activities
The study of human behavior allows the knowledge about people's behaviors, behavior determined by multiple factors: cultural, social, psychological, genetic, religious, among others, which affect the relationships and interaction with the environment ...
Freddy Oswaldo Ovalles-Pabón
doaj
Boosting Inertial-Based Human Activity Recognition With Transformers
Activity recognition problems such as human activity recognition and smartphone location recognition can improve the accuracy of different navigation or healthcare tasks, which rely solely on inertial sensors.
Yoli Shavit, Itzik Klein
doaj +1 more source
Fast Human Activity Recognition in Lifelogging [PDF]
This paper addresses the problem of fast Human Activity Recognition (HAR) in visual lifelogging. We identify the importance of visual features related to HAR and we specifically evaluate the HAR discrimination potential of Colour Histograms and Histogram of Oriented Gradients.
Terziyski, Stefan +2 more
openaire +4 more sources
A Method to Human Activity Recognition Using Acceleration Databy Machine Learning [PDF]
In this paper, we proposed a method to identify human behavior using a 3-axis acceleration sensor of a smartphone. To realize context-aware services such as efficient energy-saving appliance controland elderly monitoring, high-accuracy in-home living ...
白井, 治彦 +9 more
core
This research focuses on Human Activity Recognition (HAR) using sensor-based data, primarily from gyroscopes and accelerometers, to classify and analyze human movements in real time. With the increasing adoption of wearable devices and smart environments, HAR has gained significant importance in applications such as healthcare, fitness tracking, smart ...
Gabriele Schabacher, Sophie Spallinger
+7 more sources
Hidden Markov Mined Activity Model for Human Activity Recognition
Object-usage-based human activity recognition systems require activity data for learning. Acquiring such data from the real world is expensive and time consuming. To overcome such difficulties, the exploitation of web activity data is gaining popularity.
A. M. Jehad Sarkar
doaj +1 more source
Zero-Shot Human Activity Recognition Using Non-Visual Sensors
Due to significant advances in sensor technology, studies towards activity recognition have gained interest and maturity in the last few years. Existing machine learning algorithms have demonstrated promising results by classifying activities whose ...
Fadi Al Machot +2 more
doaj +1 more source
Activity recognition using context-aware infrastructure ontology in smart home domain [PDF]
Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases.
Lim, Azman Osman +11 more
core +1 more source

