Interaction control for postural correction on a riding simulation system

Kang, Sangseung; Kim, Kyekyung; Chi, Suyoung; Kim, Jae Hong

doi:10.1145/2559636.2563705

Cited by 5 publications

(1 citation statement)

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“…ETRI Database on horse-riding simulator [12] for experimentation was gathered by filming the side of a human in the horse-riding simulator, using the webcam named "C905" made by Logitech Company. Image resolution was 640 x 480 pixels and the database was produced indoors.…”

Section: Methodsmentioning

confidence: 99%

Human segmentation on sports simulator using hierarchical template mathcing

Kim

Chi

Jeong

2014

2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

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This paper presents human segmentation using parts of human body shape, which is for recognizing human pose on sports simulator. It is very difficult to segment human body in unsettled environment which includes various clothes style, illumination or the shape of human body. Principle feature points are extracted in seven parts of the human body: head, shoulder, elbow, hand, hip, knee, and foot. Five parts of human body such as head, hand, hip, knee and foot segmented using hierarchical template matching and shape average image. The other parts of human body segmented using shadow edge and geometric information because shoulder and elbow boundary lines are ambiguous so these inner parts need to delicate processing. To evaluate proposed algorithm, 200 pose images for 5 human on ETRI database have used and we have acquired an encouraging experimental result of 85 percent on average.

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Section: Methodsmentioning

confidence: 99%