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Human Activity Recognition in Real-Times Environments using Skeleton Joints
In this research work, we proposed a most effective
noble approach for Human activity recognition in real-time
environments. We recognize several distinct dynamic human
activity actions using kinect. A 3D skeleton data ...
Avaliação das técnicas de segmentação, modelagem e classificação para o reconhecimento automático de gestos e proposta de uma solução para classificar gestos da libras em tempo real
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2013-10-22)
Multimodal interfaces are becoming popular and trying to enhance user experience through the use of natural forms of interaction. Among these forms we have speech and gestures inputs. Speech recognition is already a common ...
Point Cloud Deep Learning Solution for Hand Gesture Recognition
In the last couple of years, there has been an increasing need for Human-Computer Interaction (HCI) systems that do not require touching the devices to control them, such as ATMs, self service kiosks in airports, terminals ...
A comparison of dynamic naive Bayesian classifiers and hidden Markov models for gesture recognition
(Journal of Applied Research and Technology, 2011)
Modelo e ferramenta para reconhecimento e classificação de gestos do corpo
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2017-08-18)
Multimodal interfaces are becoming more popular, and increasingly require natural interaction as a resource to enrich the user experience. Computational systems that support multimodality provide a more natural and flexible ...
Reconhecimento de gestos em imagens utilizando um sensor de profundidade para o controle de um robô móvel
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2017-12-19)
A study was realized to develop a system of recognition of gesture commands applied to a mobile robot. To read
the gestures was used the Kinect sensor, which allows to obtain data of the joints of a person's body and to ...
Approximate string matching: A lightweight approach to recognize gestures with Kinect
(Elsevier, 2017-02)
Innovative technologies, such as 3D depth cameras, promote the development of natural interaction applications in many domains among large audiences. In this context, supervised machine learning techniques have been proved ...
Implementación de una herramienta de integración de varios tipos de interacción humano-computadora para el desarrollo de nuevos sistemas multimodales
(International Institute of Informatics and Systemics, IIIS, 2018)
Las personas interactúan con su entorno de forma multimodal. Esto es, con el uso simultaneo de sus sentidos. En los últimos años, se ha buscado una interacción multimodal humano-computador desarrollando nuevos dispositivos ...