Results 41 to 50 of about 684,631 (253)

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
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

Physical Human Activity Recognition Using Wearable Sensors

Sensors, 2015
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower ...
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, Faicel Chamroukhi, Latifa Oukhellou, Yacine Amirat   +5 more
doaj   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 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, Inbae Jeong, Moein Younesi Heravi, Sajib Sarkar, Hyunkyu Shin, Yonghan Ahn   +5 more
doaj   +1 more source

Provider and Parent Perspectives on Prioritizing the “Asking and Monitoring” Pediatric Cancer Psychosocial Standards of Care

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager, Natalie Koskela‐Staples, Emily M. Pariseau, Michele Scialla, Kimberly Buff, Lori Wiener, Victoria Sardi Brown, Anne E. Kazak, Kimberly S. Canter   +8 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

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source