Gesture recognition for an exergame prototype

Brahim Gacem; Robert Vergouw; Harm Verbiest; Emrullah Cicek; Tim Van Oosterhout; Sander Bakkes; Ben Kröse

Gesture recognition for an exergame prototype

Brahim Gacem, Robert Vergouw, Harm Verbiest, Emrullah Cicek, Tim Van Oosterhout^*, Sander Bakkes, Ben Kröse

^*Corresponding author for this work

Amsterdam University of Applied Sciences

Research output: Contribution to journal › Conference article › Academic › peer-review

Abstract

We will demonstrate a prototype exergame aimed at the serious domain of elderly fitness. The exergame incorporates straightforward means to gesture recognition, and utilises a Kinect camera to obtain 2.5D sensory data of the human user.

Original language	English
Journal	Belgian/Netherlands Artificial Intelligence Conference
Publication status	Published - 2011
Event	23rd Benelux Conference on Artificial Intelligence, BNAIC 2011 - Ghent, Belgium Duration: 3 Nov 2011 → 4 Nov 2011

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title = "Gesture recognition for an exergame prototype",

abstract = "We will demonstrate a prototype exergame aimed at the serious domain of elderly fitness. The exergame incorporates straightforward means to gesture recognition, and utilises a Kinect camera to obtain 2.5D sensory data of the human user.",

author = "Brahim Gacem and Robert Vergouw and Harm Verbiest and Emrullah Cicek and {Van Oosterhout}, Tim and Sander Bakkes and Ben Kr{\"o}se",

year = "2011",

language = "English",

journal = "Belgian/Netherlands Artificial Intelligence Conference",

issn = "1568-7805",

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TY - JOUR

T1 - Gesture recognition for an exergame prototype

AU - Gacem, Brahim

AU - Vergouw, Robert

AU - Verbiest, Harm

AU - Cicek, Emrullah

AU - Van Oosterhout, Tim

AU - Bakkes, Sander

AU - Kröse, Ben

PY - 2011

Y1 - 2011

N2 - We will demonstrate a prototype exergame aimed at the serious domain of elderly fitness. The exergame incorporates straightforward means to gesture recognition, and utilises a Kinect camera to obtain 2.5D sensory data of the human user.

AB - We will demonstrate a prototype exergame aimed at the serious domain of elderly fitness. The exergame incorporates straightforward means to gesture recognition, and utilises a Kinect camera to obtain 2.5D sensory data of the human user.

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M3 - Conference article

AN - SCOPUS:84874006305

SN - 1568-7805

JO - Belgian/Netherlands Artificial Intelligence Conference

JF - Belgian/Netherlands Artificial Intelligence Conference

T2 - 23rd Benelux Conference on Artificial Intelligence, BNAIC 2011

Y2 - 3 November 2011 through 4 November 2011

ER -

Gesture recognition for an exergame prototype

Abstract

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