Results 31 to 40 of about 14,968,121 (261)

Boosting Inertial-Based Human Activity Recognition With Transformers

IEEE Access, 2021
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

Hidden Markov Mined Activity Model for Human Activity Recognition

International Journal of Distributed Sensor Networks, 2014
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

Sensors, 2020
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, Mohammed R. Elkobaisi, Kyandoghere Kyamakya   +2 more
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A Review of Human Activity Recognition Methods

Frontiers in Robotics and AI, 2015
Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance.
Michalis eVrigkas, Christophoros eNikou, Ioannis eKakadiaris   +2 more
doaj   +1 more source

MediaPipe with GNN for Human Activity Recognition [PDF]

Journal of Universal Computer Science
Human interaction and computer vision converge in the realm of Human Activity Recognition (HAR), which is a research field dedicated to the creation of automated systems capable of observing and categorizing human activities.
Nozha Jlidi, Sameh Kouni, Olfa Jemai, Tahani Bouchrika   +3 more
doaj   +3 more sources

Sensor-Based Open-Set Human Activity Recognition Using Representation Learning With Mixup Triplets

IEEE Access, 2022
The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from wearable sensors.
Minjung Lee, Seoung Bum Kim
doaj   +1 more source

Energy and Accuracy Trade-Offs in Accelerometry-Based Activity Recognition [PDF]

, 2013
Driven by real-world applications such as fitness, wellbeing and healthcare, accelerometry-based activity recognition has been widely studied to provide context-awareness to future pervasive technologies.
Geoff V. Merrett, Merrett, Geoff V., Alex Rogers, Robert G. Maunder, Wang, Ning, Rogers, Alex, Ning Wang, Maunder, Robert G.   +7 more
core   +1 more source

Code for human activity recognition

, 2022
The model used in this study for human activity recognition Some other baseline models  
anna li (12472653), tianwei hou (12474701)   +1 more
core   +1 more source

Human Activity Recognition through Weighted Finite Automata

Proceedings, 2018
This work addresses the problem of human activity identification in an ubiquitous environment, where data is collected from a wide variety of sources.
Sergio Salomón, Cristina Tîrnăucă
doaj   +1 more source

The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey

Sensors, 2022
Human activity recognition (HAR) has become an intensive research topic in the past decade because of the pervasive user scenarios and the overwhelming development of advanced algorithms and novel sensing approaches.
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz   +3 more
doaj   +1 more source