Asaad Algarni
Overview
Explore the profile of Asaad Algarni including associated specialties, affiliations and a list of published articles.
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11
Citations
17
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Recent Articles
1.
Abbas Y, Al Mudawi N, Alabdullah B, Sadiq T, Algarni A, Rahman H, et al.
Front Neurorobot
. 2024 Dec;
18:1443678.
PMID: 39698500
Introduction: Recognizing human actions is crucial for allowing machines to understand and recognize human behavior, with applications spanning video based surveillance systems, human-robot collaboration, sports analysis systems, and entertainment. The...
2.
Almujally N, Rafique A, Al Mudawi N, Alazeb A, Alonazi M, Algarni A, et al.
Front Neurorobot
. 2024 Oct;
18:1427786.
PMID: 39377028
Introduction: When it comes to interpreting visual input, intelligent systems make use of contextual scene learning, which significantly improves both resilience and context awareness. The management of enormous amounts of...
3.
Yusuf M, Hanzla M, Al Mudawi N, Sadiq T, Alabdullah B, Rahman H, et al.
Front Neurorobot
. 2024 Sep;
18:1448538.
PMID: 39280254
Introduction: Advanced traffic monitoring systems face significant challenges in vehicle detection and classification. Conventional methods often require substantial computational resources and struggle to adapt to diverse data collection methods. Methods:...
4.
Hanzla M, Yusuf M, Al Mudawi N, Sadiq T, Almujally N, Rahman H, et al.
Front Neurorobot
. 2024 Sep;
18:1430155.
PMID: 39220587
Introduction: Unmanned aerial vehicles (UAVs) are widely used in various computer vision applications, especially in intelligent traffic monitoring, as they are agile and simplify operations while boosting efficiency. However, automating...
5.
Al Mudawi N, Batool M, Alazeb A, Alqahtani Y, Almujally N, Algarni A, et al.
Front Bioeng Biotechnol
. 2024 Aug;
12:1398291.
PMID: 39175622
Introduction: Falls are a major cause of accidents that can lead to serious injuries, especially among geriatric populations worldwide. Ensuring constant supervision in hospitals or smart environments while maintaining comfort...
6.
Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN
Al Mudawi N, Ansar H, Alazeb A, Aljuaid H, Alqahtani Y, Algarni A, et al.
Front Bioeng Biotechnol
. 2024 Aug;
12:1401803.
PMID: 39144478
Introduction: Hand gestures are an effective communication tool that may convey a wealth of information in a variety of sectors, including medical and education. E-learning has grown significantly in the...
7.
Hashmi S, Alabdullah B, Al Mudawi N, Algarni A, Jalal A, Liu H
Sensors (Basel)
. 2024 Jul;
24(14).
PMID: 39065952
The acquisition, processing, mining, and visualization of sensory data for knowledge discovery and decision support has recently been a popular area of research and exploration. Its usefulness is paramount because...
8.
Almujally N, Khan D, Al Mudawi N, Alonazi M, Alazeb A, Algarni A, et al.
Sensors (Basel)
. 2024 May;
24(10).
PMID: 38793886
The domain of human locomotion identification through smartphone sensors is witnessing rapid expansion within the realm of research. This domain boasts significant potential across various sectors, including healthcare, sports, security...
9.
Khan D, Alonazi M, Abdelhaq M, Al Mudawi N, Algarni A, Jalal A, et al.
Front Physiol
. 2024 Mar;
15:1344887.
PMID: 38449788
Human activity recognition (HAR) plays a pivotal role in various domains, including healthcare, sports, robotics, and security. With the growing popularity of wearable devices, particularly Inertial Measurement Units (IMUs) and...
10.
A Wearable Inertial Sensor Approach for Locomotion and Localization Recognition on Physical Activity
Khan D, Al Mudawi N, Abdelhaq M, Alazeb A, Alotaibi S, Algarni A, et al.
Sensors (Basel)
. 2024 Feb;
24(3).
PMID: 38339452
Advancements in sensing technology have expanded the capabilities of both wearable devices and smartphones, which are now commonly equipped with inertial sensors such as accelerometers and gyroscopes. Initially, these sensors...