Abstract: Methods and apparatus for cataloging and recognizing gestures are disclosed. A gesture may be detected using sample motion data. An energy value and baseline value may be computed. The baseline value may be updated if the energy value is below a calm energy threshold. The sample motion data may be adjusted based on the updated baseline value. A local variance may be calculated over a number of samples. Sample motion data values may be recorded if the local variance exceeds a threshold. Sample motion data recording may stop if a local variance scalar value falls below a drop threshold. Input Gestures may be recognized by computing a total variance for sample values in an Input Gesture; calculating a figure of merit using sample values from the Input Gesture and one or more Catalog Gestures; and determining whether the Input Gesture matches a Catalog Gesture from the figure of merit.

Abstract: A total variance may be computed for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with a control device. The motion data may be related to movement of a control device. A figure of merit may be calculated using the sample values in the gesture, the total variance for the sample values in the input gesture, and sample values in one or more catalog gestures. The figure of merit measures how well the samples in the input gesture match samples in the catalog gesture. Whether an input gesture matches one of the one or more catalog gesture may be determined based on the figure of merit. A state of the system may be changed if it is determined that the input gesture matches the one of the one or more catalog gestures.

Abstract: A computer system can determine a user identification key associated with a user of a component device in response to connection of the component device to the computer system. The system automatically accesses an account associated with the user by sending the user identification key to a network associated with the computer system. The system receives data associated with the user account from the network and runs a computer application in accordance with the received data. The application receives input from the component device corresponding to user manipulation of the component device. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Methods and apparatus for cataloging and recognizing gestures are disclosed. A gesture may be detected using sample motion data. An energy value and baseline value may be computed. The baseline value may be updated if the energy value is below a calm energy threshold. The sample motion data may be adjusted based on the updated baseline value. A local variance may be calculated over a number of samples. Sample motion data values may be recorded if the local variance exceeds a threshold. Sample motion data recording may stop if a local variance scalar value falls below a drop threshold. Input Gestures may be recognized by computing a total variance for sample values in an Input Gesture; calculating a figure of merit using sample values from the Input Gesture and one or more Catalog Gestures; and determining whether the Input Gesture matches a Catalog Gesture from the figure of merit.

Abstract: Methods and apparatus for cataloging and recognizing gestures are disclosed. A gesture may be detected using sample motion data. An energy value and a baseline value may be computed. The baseline value may be updated if the energy value is below a calm energy threshold. The sample motion data may be adjusted based on the updated baseline value. A local variance may be calculated over a predetermined number of samples. Sample motion data values may be recorded if the local variance exceeds a threshold. Sample motion data recording may stop if a local variance scalar value falls below a drop threshold. Input Gestures may be recognized by computing a total variance for sample values in an Input Gesture; calculating a figure of merit using sample values from the Input Gesture and one or more Catalog Gestures; and determining whether the Input Gesture matches a Catalog Gesture from the figure of merit.

Abstract: A total variance may be computed for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with a control device. The motion data may be related to movement of a control device. A figure of merit may be calculated using the sample values in the gesture, the total variance for the sample values in the input gesture, and sample values in one or more catalog gestures. The figure of merit measures how well the samples in the input gesture match samples in the catalog gesture. Whether an input gesture matches one of the one or more catalog gesture may be determined based on the figure of merit. A state of the system may be changed if it is determined that the input gesture matches the one of the one or more catalog gestures.

Abstract: Methods and apparatus for cataloging and recognizing gestures are disclosed. A gesture may be detected using sample motion data. An energy value and a baseline value may be computed. The baseline value may be updated if the energy value is below a calm energy threshold. The sample motion data may be adjusted based on the updated baseline value. A local variance may be calculated over a predetermined number of samples. Sample motion data values may be recorded if the local variance exceeds a threshold. Sample motion data recording may stop if a local variance scalar value falls below a drop threshold. Input Gestures may be recognized by computing a total variance for sample values in an Input Gesture; calculating a figure of merit using sample values from the Input Gesture and one or more Catalog Gestures; and determining whether the Input Gesture matches a Catalog Gesture from the figure of merit.