Results 51 to 60 of about 505,040 (313)

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Dynamic Gesture Recognition Algorithm Combining Global Gesture Motion and Local Finger Motion for Interactive Teaching

IEEE Access
Adding dynamic gesture recognition to the new interactive teaching system is of great significance to improve the teaching efficiency. However, the features extracted by traditional dynamic gesture recognition methods are usually difficult to accurately ...
Li Jiashan, Li Zhonghua
doaj   +1 more source

Gesture Anak Autis dalam Menyelesaikan Soal Matematika Materi Penjumlahan Bilangan Bulat

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan, 2019
: Children with autism spectrum disorders or ASD are one of the developmental disorders of the nerves that are characterized by social and communication definitions.
Rizky Nova Damayanti, Subanji Subanji, Cholis Sa’dijah   +2 more
doaj   +1 more source

Principal component analysis of photoplethysmography signals for improved gesture recognition

Frontiers in Neuroscience, 2022
In recent years, researchers have begun to introduce photoplethysmography (PPG) signal into the field of gesture recognition to achieve human-computer interaction on wearable device.
Yuwen Ruan, Xiang Chen, Xu Zhang, Xun Chen   +3 more
doaj   +1 more source

A color hand gesture database for evaluating and improving algorithms on hand gesture and posture recognition [PDF]

, 2005
With the increase of research activities in vision-based hand posture and gesture recognition, new methods and algorithms are being developed. Although less attention is being paid to developing a standard platform for this purpose.
Barczak, Andre L.C., Dadgostar, Farhad, Sarrafzadeh, Abdolhossein   +2 more
core  

UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition [PDF]

, 2019
Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces.
A Robicquet, C Vondrick, I Guyon, JM Chaquet, PK Pisharady, S Ruffieux, T Brox   +6 more
core   +2 more sources

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher, Jennifer L. Bernstein, Katia M. Crisler, Julia K. Herriott, Kimberly L. Klages, Robin E. Norris, Mariann L. Strenk, Sarah E. Bills, Meghan E. McGrady   +8 more
wiley   +1 more source

Exercise Interventions in Children, Adolescents and Young Adults With Paediatric Bone Tumours—A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Bone tumours present significant challenges for affected patients, as multimodal therapy often leads to prolonged physical limitations. This is particularly critical during childhood and adolescence, as it can negatively impact physiological development and psychosocial resilience.
Jennifer Queisser, Claire Laurie, Teresa Schmidt, Irene von Luettichau, Peter Bekkering, Sabine Kesting   +5 more
wiley   +1 more source

Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System

Sensors
Hand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition.
Yuting Meng, Haibo Jiang, Nengquan Duan, Haijun Wen   +3 more
doaj   +1 more source

Prototyping a Capacitive Sensing Device for Gesture Recognition [PDF]

, 2019
Capacitive sensing is a technology that can detect proximity and touch. It can also be utilized to measure position and acceleration of gesture motions.
Lin, Chenglong
core   +2 more sources