Abstract: Acquired three-dimensional positional information is used to identify user created gesture(s), which gesture(s) are classified to determine appropriate input(s) to an associated electronic device or devices. Preferably at at least one instance of a time interval, the posture of a portion of a user is recognized, based at least one factor such as shape, position, orientation, velocity. Posture over each of the instance(s) is recognized as a combined gesture. Because acquired information is three-dimensional, two gestures may occur simultaneously.

Abstract: Acquired three-dimensional positional information is used to identify user created gesture(s), which gesture(s) are classified to determine appropriate input(s) to an associated electronic device or devices. Preferably at at least one instance of a time interval, the posture of a portion of a user is recognized, based at least one factor such as shape, position, orientation, velocity. Posture over each of the instance(s) is recognized as a combined gesture. Because acquired information is three-dimensional, two gestures may occur simultaneously.

Abstract: Acquired three-dimensional positional information is used to identify user created gesture(s), which gesture(s) are classified to determine appropriate input(s) to an associated electronic device or devices. Preferably at at least one instance of a time interval, the posture of a portion of a user is recognized, based at least one factor such as shape, position, orientation, velocity. Posture over each of the instance(s) is recognized as a combined gesture. Because acquired information is three-dimensional, two gestures may occur simultaneously.

Abstract: Acquired three-dimensional positional information is used to identify user created gesture(s), which gesture(s) are classified to determine appropriate input(s) to an associated electronic device or devices. Preferably at at least one instance of a time interval, the posture of a portion of a user is recognized, based at least one factor such as shape, position, orientation, velocity. Posture over each of the instance(s) is recognized as a combined gesture. Because acquired information is three-dimensional, two gestures may occur simultaneously.

Abstract: Three-dimensional position information is used to identify the gesture created by a body part of interest. At one or more instances of an interval, the posture of a body part is recognized, based on the shape of the body part and its position and orientation. The posture of the body part over each of the one or more instances in the interval are recognized as a combined gesture. The gesture is classified for determining an input into a related electronic device.

Abstract: A class of measurement devices can be made available using a family of projection patterns and image processing and computer vision algorithms. The proposed system involves a camera system, one or more structured light source, or a special pattern that is already drawn on the object under measurement. The camera system uses computer vision and image processing techniques to measure the real length of the projected pattern. The method can be extended to measure the volumes of boxes, or angles on planar surfaces.

Abstract: A method for embedding a non-audio file into a compressed audio file is disclosed. The disclosed method is capable of decoding and constructing previously encoded audio files with embedded non-audio information. The method of the present invention also includes steps for embedding the non-audio information at the proper time within the compressed audio file, wherein the decoded non-audio information can link to an Internet document for viewing during playback of the decoded audio source.

Abstract: A method for an improved QSS (bit allocator) algorithm is disclosed. The disclosed method is capable of greatly improving determination time; thereby, improving the efficiency of converting a signal from an audio format to an MP3 format. The starting point of the QSS determination for a present frame (N) is the QSS of a previous frame (N?1). This starting point provides for improved efficiency for determining actual QSS of frame N as QSS[N?1] will be closer to QSS[N] than an arbitrary starting point. Thus, fewer iterations are required to determine QSS[N] as compared to conventional encoders. The algorithm of the present is more efficient than conventional methods in that it makes use of the fact that audio signal statistics usually do not change abruptly during the period of one audio frame to another.

Abstract: A plurality of sound-detecting devices are configured to detect sound from an event of interest. Information about the sound is recorded that is dependent on a distance between the source position and the location of the sound-detection devices. The source position is approximated using the recorded information and the relative position of individual sound-detection devices to one another. The approximated source position is used as input for operating a electronic device.

Abstract: A class of measurement devices can be made available using a family of projection patterns and image processing and computer vision algorithms. The proposed system involves a camera system, one or more structured light source, or a special pattern that is already drawn on the object under measurement. The camera system uses computer vision and image processing techniques to measure the real length of the projected pattern. The method can be extended to measure the volumes of boxes, or angles on planar surfaces.

Abstract: In an MPEG audio encoder, a sign and an absolute value calculation are performed outside of the quantization inner loop, thereby reducing redundant calculations. The stored sign and absolute values can also be used in the frame packing block, also increasing processing efficiency. Thus, the present invention improves the performance of an MPEG audio encoder.

Abstract: Three-dimensional position information is used to identify the gesture created by a body part of interest. At one or more instances of an interval, the posture of a body part is recognized, based on the shape of the body part and its position and orientation. The posture of the body part over each of the one or more instances in the interval are recognized as a combined gesture. The gesture is classified for determining an input into a related electronic device.

Abstract: A fast code length search method for determining the length of a code in a codebook, wherein the method is especially suited for MPEG-compliant audio encoding. A code length table is created which stores pre-calculated code lengths, including any sign bits and linear extension bits necessary, for data value pairs or quadruples. In one embodiment, two code length tables are created, one for determining the code lengths of the codes used for the ones region, and a second code length table for the big values region. When a code length determination is made, the value is simply read from the table, instead of being calculated each time.

Abstract: Stimuli in two or more sensory domains, such as an auditory domain and a visual domain, are combined in order to improve reliability and accuracy of detected user input. Detected events that occur substantially simultaneously in the multiple domains are deemed to represent the same user action, and if interpretable as a coherent action and provided to the system as interpreted input. The invention is applicable, for example, in a virtual keyboard or virtual controller, where stimuli resulting from user actions are detected, interpreted, and provided as input to a system.

Abstract: A fast codebook search method for finding an optimal Huffman codebook from a group of Huffman codebooks, wherein the method is especially suited for MPEG-compliant audio encoding. In order to select an optimal codebook from among candidate codebooks for a given sub-region, a bit difference table is created, which for any given data pair contains a bit difference value. The bit difference value is the difference between the number of bits needed for a given data pair (or quadruple) in a first candidate codebook and a second candidate codebook [N bits−M bits]. By summing all such bit difference values for the data samples in a given sub-region, a quick determination can be made as to which codebook would encode the sub-region using the fewest bits (based on the size and/or sign of the sum(s)). For sub-regions having three candidate codebooks, two bit difference sums are calculated.

Abstract: A plurality of sound-detecting devices are configured to detect sound from an event of interest. Information about the sound is recorded that is dependent on a distance between the source position and the location of the sound-detection devices. The source position is approximated using the recorded information and the relative position of individual sound-detection devices to one another. The approximated source position is used as input for operating a electronic device.

Abstract: A method for embedding a non-audio file into a compressed audio file is disclosed. The disclosed method is capable of decoding and constructing previously encoded audio files with embedded non-audio information. The method of the present invention also includes steps for embedding the non-audio information at the proper time within the compressed audio file, wherein the decoded non-audio information can link to an Internet document for viewing during playback of the decoded audio source.

Abstract: A method for an improved QSS (bit allocator) algorithm is disclosed. The disclosed method is capable of greatly improving determination time; thereby, improving the efficiency of converting a signal from an audio format to an MP3 format. The starting point of the QSS determination for a present frame (N) is the QSS of a previous frame (N−1). This starting point provides for improved efficiency for determining actual QSS of frame N as QSS[N−1] will be closer to QSS[N] than an arbitrary starting point. Thus, fewer iterations are required to determine QSS[N] as compared to conventional encoders. The algorithm of the present is more efficient than conventional methods in that it makes use of the fact that audio signal statistics usually do not change abruptly during the period of one audio frame to another.