Results 51 to 60 of about 26,927 (305)
Lixdh12/Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network:
, 2021 Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and ...
Sparsha Saha, mohammed-Emad
core +1 more source
IEEE Access, 2022 To solve the problem of the low recognition rate of continuous dynamic gestures in Chinese sign language, a non-invasive end-to-end continuous dynamic gesture recognition system combining Inertial Measurement Unit (IMU) signal and surface ...
Jinquan Li +3 more
doaj +1 more source
Real-time Recognition Method for Static Gestures Based on DSSD [PDF]
Jisuanji gongcheng, 2020 Gesture recognition,as a natural and harmonious way of human-computer interaction,has wide application prospects.Aiming at the problems of low accuracy and poor real-time performance of traditional gesture recognition methods,this paper proposes a real ...
ZHOU Wenjun, ZHANG Yong, WANG Yujie
doaj +1 more source
Gesture Recognition and Hand Tracking for Anti-Counterfeit Palmvein Recognition
Applied Sciences, 2023 At present, COVID-19 is posing a serious threat to global human health. The features of hand veins in infrared environments have many advantages, including non-contact acquisition, security, privacy, etc., which can remarkably reduce the risks of COVID ...
Jiawei Xu, Lu Leng, Byung-Gyu Kim
doaj +1 more source
A Pathway into Metaverse: Gesture Recognition Enabled by Wearable Resistive Sensors
Advanced Sensor Research, 2023 Hand gesture recognition is of great importance for human–Metaverse interaction. The human hand is relatively smaller, with very complex articulations than the entire human body.
Shengshun Duan +6 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Hand gesture recognition for multimedia applications [PDF]
, 2008 Hand gesture is potentially a very natural and useful modality for human-machine interaction. It is considered to be one of the most complicated and interesting challenges in computer vision due to its articulated structure and environmental variations.
Al-Rajab, Moaath
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source
HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps
Sensors, 2015 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
Interact: Gesture Recognition in the Cloud [PDF]
2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, 2014 Interact is a cloud based gesture recognition solution based on the FI-WARE cloud platform, realized by means of cloud services communicating with each other through REST APIs. To promote the development of Future Internet (FI) applications, all functionalities of Interact are offered as cloud services.
Alexandros Preventis +3 more
openaire +1 more source