Results 21 to 30 of about 394,964 (308)

Intelligent Contactless Gesture Recognition Using WLAN Physical Layer Information

open access: yesIEEE Access, 2019
Contactless gesture recognition is an emerging interactive technique in ubiquitous and mobile computing. It combines the linguistics with the wireless signals to analyze, judge, and integrate human gestures by the usage of intelligent algorithms.
Shujie Ren   +5 more
doaj   +1 more source

Deep Learning Based Real-Time Recognition of Dynamic Finger Gestures Using a Data Glove

open access: yesIEEE Access, 2020
In this article, a real-time dynamic finger gesture recognition using a soft sensor embedded data glove is presented, which measures the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joint angles of five fingers. In the gesture recognition
Minhyuk Lee, Joonbum Bae
doaj   +1 more source

Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image

open access: yesSensors, 2021
Hand gesture recognition and hand pose estimation are two closely correlated tasks. In this paper, we propose a deep-learning based approach which jointly learns an intermediate level shared feature for these two tasks, so that the hand gesture ...
Chi Xu, Yunkai Jiang, Jun Zhou, Yi Liu
doaj   +1 more source

Automatic skin segmentation for gesture recognition combining region and support vector machine active learning [PDF]

open access: yes, 2006
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the skin segmentation problem for gesture recognition.
Awad, George M.   +3 more
core   +1 more source

CNN Deep Learning with Wavelet Image Fusion of CCD RGB-IR and Depth-Grayscale Sensor Data for Hand Gesture Intention Recognition

open access: yesSensors, 2022
Pixel-based images captured by a charge-coupled device (CCD) with infrared (IR) LEDs around the image sensor are the well-known CCD Red–Green–Blue IR (the so-called CCD RGB-IR) data.
Ing-Jr Ding, Nai-Wei Zheng
doaj   +1 more source

Separating gesture detection and application control concerns with a multimodal architecture [PDF]

open access: yes, 2015
Comunicação apresentada na conferência internacional - CIT 2015, realizada de 26-28 de outubro de 2015Gesture-controlled applications typically are tied to specific gestures, and also tied to specific recognition methods and specific gesture-detection ...
Barbosa, Luís   +8 more
core   +1 more source

Gesture Recognition in Robotic Surgery: A Review [PDF]

open access: yesIEEE Transactions on Biomedical Engineering, 2021
Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven approaches and outlines the open questions and future research directions.
Beatrice van Amsterdam   +2 more
openaire   +5 more sources

Human gesture classification by brute-force machine learning for exergaming in physiotherapy [PDF]

open access: yes, 2017
In this paper, a novel approach for human gesture classification on skeletal data is proposed for the application of exergaming in physiotherapy. Unlike existing methods, we propose to use a general classifier like Random Forests to recognize dynamic ...
Allebosch, Gianni   +4 more
core   +1 more source

GESTURE RECOGNITION SYSTEM [PDF]

open access: yesInternational Journal of Research in Engineering and Technology, 2015
This paper presents a novel approach for the gesture recognition system using software. In this paper the real time image is taken and is compared with a training set of images and displays a matched training image. In this approach we have used skin detection techniques for detecting the skin threshold regions, Principle Component Analysis (PCA ...
Manvitha Pothineni   +3 more
openaire   +1 more source

Survey on Emotional Body Gesture Recognition [PDF]

open access: yesIEEE Transactions on Affective Computing, 2021
Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestures remains a less explored topic. We present a new comprehensive survey hoping to boost research in the field.
Fatemeh Noroozi   +5 more
openaire   +5 more sources

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