Results 51 to 60 of about 670,705 (254)
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
Window Size Impact in Human Activity Recognition
Sensors, 2014 Signal segmentation is a crucial stage in the activity recognition process; however, this has been rarely and vaguely characterized so far. Windowing approaches are normally used for segmentation, but no clear consensus exists on which window size should
Oresti Banos +4 more
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 +3 more
doaj +1 more source
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 +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source
Multi-Camera-Based Human Activity Recognition for Human–Robot Collaboration in Construction
Sensors, 2023 As the use of construction robots continues to increase, ensuring safety and productivity while working alongside human workers becomes crucial. To prevent collisions, robots must recognize human behavior in close proximity. However, single, or RGB-depth
Youjin Jang +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
Machine Learning Prediction of Human Activity Recognition
Ethiopian Journal of Science and Sustainable Development, 2019 Wearable computation is getting integrated into our daily life. It has got wide acceptance due to their small sizes, and reasonable computation power.
Getinet Yilam, Dileep Kumar
doaj +1 more source
Human Activity Recognition in the Presence of Occlusion
Sensors, 2023 The presence of occlusion in human activity recognition (HAR) tasks hinders the performance of recognition algorithms, as it is responsible for the loss of crucial motion data. Although it is intuitive that it may occur in almost any real-life environment, it is often underestimated in most research works, which tend to rely on datasets that have been ...
Ioannis Vernikos +3 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source