SOFTKINETIC SOFTWARE Patent applications |
Patent application number | Title | Published |
20160124513 | Human-to-Computer Natural Three-Dimensional Hand Gesture Based Navigation Method - Described herein is a method for enabling human-to-computer three-dimensional hand gesture-based natural interactions. From depth images provided by a range finding imaging system, the method enables efficient and robust detection of a particular sequence of natural gestures including a beginning (start), and an ending (stop) of a predetermined type of natural gestures for delimiting the period during which a control (interaction) gesture is operating in an environment wherein a user is freely moving his hands. The invention is more particularly, although not exclusively, concerned by detection without any false positives nor delay, of intentionally performed natural gesture subsequent to a starting finger tip or hand tip based natural gesture so as to provide efficient and robust navigation, zooming and scrolling interactions within a graphical user interface up until the ending finger tip or hand tip based natural gesture is detected. | 05-05-2016 |
20150181198 | Automatic Scene Calibration - Described herein is a method of calibrating a three-dimensional imaging system. During calibration, a position and an orientation of the three-dimensional imaging system is determined with respect to a first parameter comprising a real world vertical direction (V | 06-25-2015 |
20150153833 | METHOD AND SYSTEM FOR HUMAN-TO-COMPUTER GESTURE BASED SIMULTANEOUS INTERACTIONS USING SINGULAR POINTS OF INTEREST ON A HAND - Described herein is a method for enabling human-to-computer three-dimensional hand gesture-based natural interactions from depth images provided by a range finding imaging system. The method enables recognition of simultaneous gestures from detection, tracking and analysis of singular points of interests on a single hand of a user and provides contextual feedback information to the user. The singular points of interest of the hand: include hand tip(s), fingertip(s), palm centre and centre of mass of the hand, and are used for defining at least one representation of a pointer. The point(s) of interest is/are tracked over time and are analysed to enable the determination of sequential and/or simultaneous “pointing” and “activation” gestures performed by a single hand. | 06-04-2015 |
20150117708 | Three Dimensional Close Interactions - Described herein is a method for detecting, identifying and tracking hand, hand parts, and fingers on the hand ( | 04-30-2015 |
20140007022 | NATURAL GESTURE BASED USER INTERFACE METHODS AND SYSTEMS | 01-02-2014 |
20130027293 | STABILISATION METHOD AND COMPUTER SYSTEM - The present invention relates to a method for stabilising a series of measurements of a physical variable captured by a digital sensor. This method comprises the steps of: capturing at least a first measurement, a second measurement, and a third measurement of said physical variable and storing each measurement in a digital memory. The first and second measurements are compared and, if a difference between the first measurement and the second measurement is below a predetermined threshold, the second measurement is replaced in the memory by a corrected second measurement where the difference with respect to said first measurement has been reduced using a first filtering strength. The corrected second measurement and the third measurement are compared and, if a difference between the filtered value of the corrected second measurement and said third measurement is also below the threshold, said the third measurement is replaced by a corrected third measurement where a difference with respect to said corrected second measurement has been reduced using a second filtering strength that is lower than the first filtering strength. This method has the advantage of filtering noise whilst still allowing slow but relevant variations in the series of measurements. | 01-31-2013 |
20130022262 | HEAD RECOGNITION METHOD - Described herein is a method for recognising a human head in a source image. The method comprises detecting a contour of at least part of a human body in the source image, calculating a depth of the human body in the source image. From the source image, a major radius size and a minor radius size of an ellipse corresponding to a human head at the depth is calculated, and, for at least several of a set of pixels of the detected contour, generating in an accumulator array at least one segment of an ellipse centred on the position of the contour pixel and having the major and minor radius sizes. Positions of local intensity maxima in the accumulator array are selected as corresponding to positions of the human head candidates in the source image. | 01-24-2013 |