Industrial Technology Research Institute

Shih-Fang Yang Mao

Je-Ping Hu

Ching-Yu Huang

Cheng-Yen Tsai

Jian-Hong Wu

Tien-Yan Ma

Ming-Chieh Tsai

Szu-Ju Li

Yu-Wei Chang

Yu-chang Chen

Pin-Chou Li

Hui-Yu Cho

Keng-Hsun Lin

Jyun-Siang Hsu

Kuan-Ting Ho

A measurement system includes a camera and a processor. The camera is configured to capture a measurement card image of a measurement card, and the measurement card image includes a number of feature pattern images. The processor is electrically connected to the camera and configured for analyzing the feature pattern images to obtain a feature point coordinate of a feature point of each feature pattern image, and inputting the feature point coordinates into a conversion matrix to obtain a tip coordinate of a tip of the measurement card.

Measurement card, measurement system and measurement method using the same

A motion force feedback device and a motion force feedback method are provided. The method includes following steps of: measuring a position and a direction of an object in a space by an inertial measurement unit; measuring a velocity change of the object relative to an ambient fluid and a relative moving velocity of the ambient fluid in at least one direction by an air velocity sensing unit; dynamically adjusting a magnitude and a direction of a centrifugal force to provide force feedback by a vector force feedback unit; and calculating a measurement signal obtained from the inertial measurement unit and the air velocity sensing unit by a processor to generate a moving distance and a moving direction of the object in the space, and activating the vector force feedback unit to provide the force feedback by the processor according to a moving posture of the object and a contact force with the object.

Motion force feedback device and motion force feedback method

A face depth image is normalized and color-transferred into a normalized face depth image. The face color image and the normalized face depth image are mixed into a face mixed image. A plurality of face mixed images of several different users are processed with face landmark alignment and mean, and then are synthesized with the face mixed image of another user into an imaginary face.

Imaginary face generation method and system, and face recognition method and system using the same

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Zhubei, Taiwan

Shih-Fang Yang Mao