Basic Investigation into Hand Shape Recognition Using Colored Gloves Taking Account of the Peripheral Environment
Although infrared cameras are sometimes used for posture and hand shape recognition, they are not used widely. In contrast, visible light cameras are widely used as web cameras and are implemented in mobile and smart phones. We have used color gloves in order to allow hand shapes to be recognized by visible light cameras, which expands both the type of background that can be used and the application areas. It is considered that the hand shape recognition using color gloves can be used to express many patterns and can be used for many applications such as communication and input interfaces, etc. The recognition performance depends on the color information of the color gloves, which is affected by the environment, especially the illumination conditions, that is bright or dim lighting. Hue values are used to detect color in this investigation. The relative finger positions and finger length are used to confirm the validity of color detection. We propose a method of rejecting image frames that includes a color detection error, which will, in turn, give rise to a hand shape recognition error. Experiments were carried out under three different illumination conditions. The effectiveness of the proposed method has been verified by comparing the recognition success ratio of the conventional method and with the results using the proposed methods.
KeywordsColored Gloves Visible Light Camera Color Detection Hue Value Peripheral Environment
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