A gestural approach to presentation exploiting motion capture metaphors

Cuccurullo, Stefania; Francese, Rita; Murad, Sharefa; Passero, Ignazio; Tucci, Maurizio

doi:10.1145/2254556.2254584

Cited by 17 publications

(14 citation statements)

References 13 publications

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“…Reference [1] presents a gesture recognition system. Their system uses what is called Kinect Presenter approach for controlling MS PowerPoint presentation.…”

Section: Gesture-command Customizationmentioning

confidence: 99%

“…Presentation tools are also used in the domain of conferences [1]. Such presentations are controlled using keyboard and mouse which requires the lecturer to be standing beside the computer table all the time to start a presentation, move the presentation slides and ending the presentation.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, using keyboard and mouse reduces the interactive and naturalness in communication with audiences [4] and [5]. References [2] and [1] introduce that even the Bluetooth connected devices, which are designed to control presentations have some drawbacks regarding the problem of keeping the lecturer close the computer because of its limited functionalities. As an example, such devices cannot control the mouse.…”

Section: Introductionmentioning

confidence: 99%

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Teachme, A Gesture Recognition System with Customization Feature

Qattous¹,

Sowan²,

AlSheikSalem³

2016

ijacsa

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Abstract-Many presentation these days are done with the help of a presentation tool. Lecturers at Universities and researchers in conferences use such tools to order the flow of the presentation and to help audiences follow the presentation points. Presenters control the presentation tools using mouse and keyboard which keep the presenters always beside the computer machine to be close enough to the keyboard and mouse. This reduces the ability of the lecturer to move close to the audiences and reduces the eye contact with them. Moreover, using such traditional techniques in controlling presentation tools lack the communication naturalness. Several gesture recognition tools are introduced as solutions for these problems. However, these tools require the user to learn specific gestures to control the presentation and/or the mouse. These specific gestures can be considered as a gestures vocabulary for the gesture recognition system. This paper introduces a gesture recognition system, TeachMe, which controls Microsoft PowerPoint presentation tool and the mouse pointer.TeachMe also has a gesture customization feature that allows the user to customize some gestures according to his/her preference. TeachMe uses Kinect device as an interface for capturing gestures. This paper, specifically, discusses in details the techniques and factors taken into consideration for implementing the system and its customization feature.

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“…Reference [1] presents a gesture recognition system. Their system uses what is called Kinect Presenter approach for controlling MS PowerPoint presentation.…”

Section: Gesture-command Customizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Teachme, A Gesture Recognition System with Customization Feature

Qattous¹,

Sowan²,

AlSheikSalem³

2016

ijacsa

View full text Add to dashboard Cite

show abstract

“…A user study demonstrated that the users prefer such selection mechanism if compared with pressing buttons.  In [33], the authors describe another gestural controller remote control interface for robots  In [35], the authors propose a gestural interface for controlling Power Point presentations.  In [135], the authors defined a set of gestures for navigating in a virtual 3D environment.…”

Section: Rotatementioning

confidence: 99%

“…The hand pointing gesture (line is an iterative repetition of hand movements (line [24][25][26][27][28][29][30], which is disabled by the hand closure (line [31][32][33][34][35][36][37][38][39][40][41][42][43][44]. For each change of the hand position, the gesture model updates the focusPoint of the grouping containing all the presentation interactors, which has id channelMain, using the current right hand position (line [25][26][27][28][29].…”

Section: 8)mentioning

confidence: 99%

A model-based approach for gesture interfaces

Spano

2011

Proceedings of the 3rd ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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This one goes out to the one I love "People shouldn't have to read a manual to open a door, even if it is only one word long (push/pull AbstractThe description of a gesture requires temporal analysis of values generated by input sensors, and it does not fit well the observer pattern traditionally used by frameworks to handle the user's input. The current solution is to embed particular gesture-based interactions into frameworks by notifying when a gesture is detected completely. This approach suffers from a lack of flexibility, unless the programmer performs explicit temporal analysis of raw sensors data. This thesis proposes a compositional, declarative meta-model for gestures definition based on Petri Nets. Basic traits are used as building blocks for defining gestures; each one notifies the change of a feature value. A complex gesture is defined by the composition of other sub-gestures using a set of operators. The user interface behaviour can be associated to the recognition of the whole gesture or to any other sub-component, addressing the problem of granularity for the notification of events.The meta-model can be instantiated for different gesture recognition supports and its definition has been validated through a proof of concept library. Sample applications have been developed for supporting multi-touch gestures in iOS and full body gestures with Microsoft Kinect.In addition to the solution for the event granularity problem, this thesis discusses how to separate the definition of the gesture from the user interface behaviour using the proposed compositional approach.The gesture description meta-model has been integrated into MARIA, a model-based user interface description language, extending it with the description of full-body gesture interfaces.

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