Robert Boschgmbh

You-Chi Cheng

Fuliang Weng

Liu Ren

Zhe Feng

Chin-Hui Lee

Zhongnan Shen

Baoshi Yan

A method of receiving input from a user includes providing a surface within reach of a hand of the user. A plurality of locations on the surface that are touched by the user are sensed. An alphanumeric character having a shape most similar to the plurality of touched locations on the surface is determined. The user is audibly or visually informed of the alphanumeric character and/or a word in which the alphanumeric character is included. Feedback is received from the user regarding whether the alphanumeric character and/or word is an alphanumeric character and/or word that the user intended to be determined in the determining step.

Gesture-based information and command entry for motor vehicle

A method of interpreting input from a user includes providing a surface within reach of a hand of the user. A plurality of locations on the surface that are touched by the user are sensed. An alphanumeric character having a shape most similar to the plurality of touched locations on the surface is determined. The determining includes collecting information associated with hand region localized modules, and modeling the information using statistical models. The user is informed of the alphanumeric character and/or a word in which the alphanumeric character is included. Feedback is received from the user regarding whether the alphanumeric character and/or word is an alphanumeric character and/or word that the user intended to be determined in the determining step.

Method of fusing multiple information sources in image-based gesture recognition system

An in-vehicle information system includes a camera and a controller that accept gesture input. A controller receives frames of video data and generates trajectory data for a movement of a hand in the video data. The controller uses a first hidden Markov model (HMM) to decode a sequence of strokes from the trajectory data, removes a starting and ending stroke to form an edited stroke sequence, and re-normalizes the strokes in the edited stroke sequence. The controller uses a second HMM corresponding to a predetermined set of characters to identify a character corresponding to the re-normalized edited stroke sequence.

System and method for identifying handwriting gestures in an in-vehicle information system

A method of receiving input from a user includes sensing a first trajectory of a center of mass of a hand of the user during a gesture made by the hand. A second trajectory of a finger tip of the hand of the user during the gesture made by the hand is also sensed. An alphanumeric character represented by the gesture made by the hand is determined dependent upon both the first trajectory and the second trajectory.

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Palo Alto, CA, United States of America

You-Chi Cheng