Development of a 3D real time gesture recognition methodology for virtual environment control

Portillo-Rodríguez, Otniel; Sandoval-Gonzalez, Oscar Osvaldo; Avizzano, Carlo Alberto; Ruffaldi, Emanuele; Vercelli, Davide; Bergamasco, Massimo

doi:10.1109/roman.2008.4600679

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…In [22], they provided 3D pointing gesture recognition for natural human computer Interaction HCI in a real-time from binocular views. Some virtual reality applications are available in [56], [57], [58].…”

Section: Application Areasmentioning

confidence: 99%

A Survey on Vision-based Dynamic Gesture Recognition

Saikia¹,

Saharia²

2016

IJCA

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Gesture is the most primitive way of communication among human being. Today in the era of modern technology gesture recognition influences the world very diversely, from the physically challenged people to robot control to virtual reality environments. Compared to the systems which use extra devices (gloves, sensors), vision-based systems are more userfriendly and simple. Vision-based systems are easy to use, but most difficult to implement. This paper presents a comprehensive survey on the vision-based dynamic gesture recognition approaches, a comparative study on those methods, and find out the issues and challenges in this area.

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Section: Application Areasmentioning

confidence: 99%

A Survey on Vision-based Dynamic Gesture Recognition

Saikia¹,

Saharia²

2016

IJCA

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“…Virtual reality interaction uses the hand gesture to manipulate the virtual movements using one or two hands for 2D and 3D interactions display (Murthy, 2009). Some virtual reality applications are available in (Bertsch, 2009;Rodriguez, 2008;Guan, 2008). Thomas (2008) worked with multimodal user interfaces that include visual, acoustic and haptic I/O.…”

Section: Virtual Realitymentioning

confidence: 99%

Survey on Gesture Recognition for Hand Image Postures

Khan¹,

Ibraheem²

2012

CIS

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One of the attractive methods for providing natural human-computer interaction is the use of the hand as an input device rather than the cumbersome devices such as keyboards and mice, which need the user to be located in a specific location to use these devices. Since human hand is an articulated object, it is an open issue to discuss. The most important thing in hand gesture recognition system is the input features, and the selection of good features representation. This paper presents a review study on the hand postures and gesture recognition methods, which is considered to be a challenging problem in the human-computer interaction context and promising as well. Many applications and techniques were discussed here with the explanation of system recognition framework and its main phases.

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“…Hofmann, F. et al [4] presented the velocity profile based method which utilize HMM to recognize human gestures. Portillo-Rodriguez [5] et al proposed a FSM based recognition method. Jani Mantyjarvi et al treated the gesture recognition technology as an interactive method in a design environment [6], and developed a system named Smart Design Studio.…”

Section: Introductionmentioning

confidence: 99%

An accelerometer-based gesture recognition algorithm and its application for 3D interaction

Liu

Pan

2010

COMSIS J

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This paper proposes an accelerometer-based gesture recognition algorithm. As a pre-process procedure, raw data output by accelerometer should be quantized, and then use discrete Hidden Markov Model to train and recognize them. Based upon this recognition algorithm, we treat gesture as a method of human-computer interaction and use it in 3D interaction subsystem in VR system named VDOM by following steps: establish Gesture-Semantic Map, train standard gestures, finally do recognition. Experimental results show that the system can recognize input gestures quickly with a reliable recognition rate. The users are able to perform most of the typical interaction tasks in virtual environment by this accelerometer-based device.

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Development of a 3D real time gesture recognition methodology for virtual environment control

Cited by 5 publications

References 24 publications

A Survey on Vision-based Dynamic Gesture Recognition

A Survey on Vision-based Dynamic Gesture Recognition

Survey on Gesture Recognition for Hand Image Postures

An accelerometer-based gesture recognition algorithm and its application for 3D interaction

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