alexa Survey on Skeleton Gesture Recognition Provided by Kin
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
Open Access

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Research Article

Survey on Skeleton Gesture Recognition Provided by Kinect

Manjuatha M B1, Pradeep kumar B.P.2, Santhosh.S.Y3
  1. Professor, Dept of ECE, AIT, Tumkur, Karnataka, India
  2. Asst.professor, Dept of ECE, AIT, Tumkur, Karnataka, India
  3. PG scholar, Dept of ECE, AIT, Tumkur, Karnataka, India
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This survey paper proposes a real time implementation for a human skeleton recognition by Kinect that can be used for vision-based human interfaces.Using of the low cost device Kinect with its SDK tool kit gives us a possibility to resolve with ease some difficult problems encounteredwhen working with conventional cameras. In particular, we are interested in a specific stream of vector extraction of twenty body-joint as a coordinate to identify skeletal structure of the human body captured by Kinect camera. The recognized gesture patterns from skeletal structure used to study various postures like stand, sit down, and lie down.In conventional systems they are bypassing so many problems when they are working in ideal conditions. The velocities and angle between the joints hitting the floor by tracking the 3D joints are discussed. In this paper different methodologies, segmentation, feature extraction, classifiers are conferred and compared.


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