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HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps
The hand is an important part of the body used to express information through gestures, and its movements can be used in dynamic gesture recognition systems based on computer vision with practical applications, such as medical, games and sign language ...
Diego G. Santos +2 more
doaj +1 more source
A color hand gesture database for evaluating and improving algorithms on hand gesture and posture recognition [PDF]
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. +2 more
core
ABSTRACT We present two pediatric cases of pediatric low‐grade gliomas (PLGG) with BRAF V600E mutations diagnosed and monitored using cerebrospinal fluid (CSF) liquid biopsy analyzed via digital droplet PCR (ddPCR), without tissue biopsy. Both patients were treated with dabrafenib and trametinib and monitored through clinical assessments, magnetic ...
Hannah Sultan +5 more
wiley +1 more source
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
Dynamic Gesture Recognition and Interaction of Monocular Camera Based on Deep Learning
Most of the existing gesture recognition applications are based on specific devices, such as Kinect, Leap Motion, etc. Because of its price and practicability, it can not be widely used. Monocular camera is the most common accessory of computer or mobile
SUNBo wen, YU Feng
doaj +1 more source
GART: The Gesture and Activity Recognition Toolkit [PDF]
Presented at the 12th International Conference on Human-Computer Interaction, Beijing, China, July 2007.The original publication is available at www.springerlink.comThe Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed ...
Brashear, Helene +4 more
core +2 more sources
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 +6 more
wiley +1 more source
As one of the important components of augmented reality system, gesture recognition is widely used in virtual reality, intelligent interaction and human-machine interface.
Xiaoxu He
doaj +1 more source
Gesture recognition through angle space [PDF]
As the notion of ubiquitous computing becomes a reality, the keyboard and mouse paradigm become less satisfactory as an input modality. The ability to interpret gestures can open another dimension in the user interface technology.
Dadgostar, F., Sarrafzadeh, A.
core
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 +8 more
wiley +1 more source

