Results 41 to 50 of about 2,608,110 (238)

HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps

open access: yesSensors, 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

Ultra-Low Power Hand Gesture Sensor Using Electrostatic Induction

open access: yesSensors, 2021
This paper presents an ultra-low power hand gesture sensor using electrostatic induction for mobile devices. Two electrodes, which consist of electret foils stacked on metal sheets, are used to recognize two gestures such as hand movements from left to ...
Hiroshi Fuketa
doaj   +1 more source

Hand Gesture Recognition Library

open access: yesCoRR, 2015
In this paper we have presented a hand gesture recognition library. Various functions include detecting cluster count, cluster orientation, finger pointing direction, etc. To use these functions first the input image needs to be processed into a logical array for which a function has been developed. The library has been developed keeping flexibility in
Jonathan Fidelis Paul   +3 more
openaire   +3 more sources

A Hand Gesture Approach to Biometrics

open access: yes, 2015
In this paper we present a biometric technique based on hand gestures. By means of the Microsoft Kinect sensor, the user’s hand is tracked while following a circle moving on the screen. Both 3D data about the position of the hand and 2D data about the position of the screen pointer are provided to different classifiers (SVM, Naive Bayes, Classification
Nugrahaningsih, Nahumi   +2 more
openaire   +3 more sources

Gesture facilitates the syntactic analysis of speech [PDF]

open access: yes, 2012
Recent research suggests that the brain routinely binds together information from gesture and speech. However, most of this research focused on the integration of representational gestures with the semantic content of speech. Much less is known about how
Schmidt-Kassow, Maren   +23 more
core   +1 more source

Lixdh12/Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network:

open access: yes, 2021
Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and ...
Sparsha Saha, mohammed-Emad
core   +1 more source

Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking

open access: yesVietnam Journal of Computer Science, 2023
Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers.
Thu-Hien Le   +8 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

Structure‐forward targeting of claudins with synthetic binders

open access: yesFEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

NUI framework based on real-time head pose estimation and hand gesture recognition

open access: yesMATEC Web of Conferences, 2016
The natural user interface (NUI) is used for the natural motion interface without using device or tool such as mice, keyboards, pens and markers. In this paper, we develop natural user interface framework based on two recognition module.
Kim Hyunduk   +2 more
doaj   +1 more source

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