Microsoft Technology Licensing, LLC

N-trig Ltd.

Pointgrab Ltd.

Amir Kaplan

Haim Perski

Rafi Zachut

Ori Rimon

Meir Morag

Eran Eilat

Yuval Stern

Ovadya Menadeva

Gil Wohlstadter

A digitizer system comprises at least one object incorporating an electronic tag configured for radiating at least one modulated signal and at least one second signal; a digitizer sensor configured for detecting the at least one second signal while the object is positioned on or over the digitizer sensor; and circuitry configured for identifying the object based on modulation of the at least one modulated signal and for determining a position of the object on or over the digitizer based on the detected second signal on a portion of the digitizer sensor.

System and method for multiple object detection on a digitizer system

A system for determining information regarding at least one object, comprising: a sensor sensitive to capacitive coupling; at least one object adapted to create a capacitive coupling with the sensor when at least one signal is input to the sensor; a detector adapted to measure at least one output signal of said sensor associated with the at least one object, wherein the output signal associated with the at least one object is an object information code.

Apparatus for object information detection and methods of using same

A system and method for computer vision based tracking of a hand may include receiving a sequence of images, the images including at least one object having a shape of a hand. A first selected feature is tracked from within the hand shaped object. Shape recognition algorithms are applied at a suspected location of the hand shaped object in an image from the sequence of images to detect a shape of a hand in the image and a second feature from within the detected shape of the hand is then selected and tracked, thereby providing verification and updating of the location of the hand shaped object.

Computer vision based tracking of a hand

A system and method are provided for controlling a device based on computer vision. Embodiments of the system and method of the invention are based on receiving a sequence of images of a field of view; detecting movement of at least one object in the images; applying a shape recognition algorithm on the at least one moving object; confirming that the object is a user hand by combining information from at least two images of the object; and tracking the object to control the device.

Computer vision gesture based control of a device

A method for detection on a digitizer sensor, the method comprises simultaneously transmitting orthogonal signals having the same frequency on at least two conductors of a digitizer sensor; sampling a signal on at least one other conductor crossing the at least two conductors, wherein the signal is responsive to capacitive coupling at cross-junctions formed between the at least two conductors and at least one other conductor; decomposing the sampled signal into orthogonal components; and analyzing the orthogonal components to detect user interaction at each cross junction.

System and method for detection with a digitizer sensor

A method for detecting an object on a sensor sensitive to capacitive coupling comprises simultaneously transmitting signals on at least two electrodes of the sensor, wherein at least one of the signals transmitted on each of the at least two electrodes has a frequency that is different from a frequency of at least one other signal transmitted on another electrode of the at least two electrodes, sampling a signal on at least one other electrode crossing the at least two electrodes, wherein the signal is responsive to capacitive coupling formed between the at least two electrodes and the at least one other crossing electrode, and detecting at least one object from the sampled signals.

Growing community of inventors

Hod-Hasharon, Israel

Amir Kaplan