The present invention relates to interpretation of a gesture on a touch surface of a touch sensing device.
Touch sensing systems (“touch systems”) are in widespread use in a variety of applications. Typically, the touch systems are actuated by a touch object such as a finger or stylus, either in direct contact, or through proximity (i.e. without contact), with a touch surface. Touch systems are for example used as touch pads of laptop computers, in control panels, and as overlays to displays on e.g. hand held devices, such as mobile telephones. A touch panel that is overlaid on or integrated in a display is also denoted a “touch screen”. Many other applications are known in the art.
To an increasing extent, touch systems are designed to be able to detect two or more touches simultaneously, this capability often being referred to as “multi-touch” in the art.
There are numerous known techniques for providing multi-touch sensitivity, e.g. by using cameras to capture light scattered off the point(s) of touch on a touch panel, or by incorporating resistive wire grids, capacitive sensors, strain gauges, etc into a touch panel.
WO2011/028169 and WO2011/049512 disclose multi-touch systems that are based on frustrated total internal reflection (FTIR). Light sheets are coupled into a panel to propagate inside the panel by total internal reflection (TIR). When an object comes into contact with a touch surface of the panel, the propagating light is attenuated at the point of touch. The transmitted light is measured at a plurality of outcoupling points by one or more light sensors. The signals from the light sensors are processed for input into an image reconstruction algorithm that generates a 2D representation of interaction across the touch surface. This enables repeated determination of current position/size/shape of touches in the 2D representation while one or more users interact with the touch surface. Examples of such touch systems are found in U.S. Pat. No. 3,673,327, U.S. Pat. No. 4,254,333, U.S. Pat. No. 6,972,753, US2004/0252091, US2006/0114237, US2007/0075648, WO2009/048365, US2009/0153519, WO2010/006882, WO2010/064983, and WO2010/134865.
A touch screen provided with a multi-touch technology can usually be oriented in any direction. A tabletop computer is normally placed in a horizontal position. If the tabletop computer is provided with a touch screen with multi-touch technology and several users are interacting with the computer, there might be a need to orient items presented via the touch screen towards the different users. An item often has a desired orientation for it to be presented to the user. For example, a text message shall preferably be oriented non-inverted to a user, or if a picture comprises e.g. an ocean and a sky, the ocean shall be in a lower part and the sky in an upper part of the picture as seen from the user.
In US-20120060127-A1 this problem is solved by using a touch sensing technology using a camera to detect the palm of a hand in relation to the fingers of the hand. The hand direction of a user is recognized and an item is oriented according to the hand direction.
In US-2007/0300182-A1 orientation of a user is determined using a point of contact that an object, e.g. a finger of the user, makes against a display surface and a shadow cast by the object on the surface. An axis is determined between the shadow and the point of contact and the axis is used as a frame of reference for the orientation of an interface element. A camera is used to detect the point of contact and the shadow.
Several users may interact at the same time with a touch system, and if a user wants the system to react in a certain way the input to the system should preferable be fast and intuitive for the user.
In view of the foregoing, it is an object of the invention to provide a new gesture for manipulation an item visible via the touch screen. It is a further object to provide a gesture for orienting the item in a predetermined direction in relation to the gesture.
According to a first aspect, the object is at least partly achieved with a method for manipulating a graphical user interface, GUI, object according to the first independent claim. The method comprises receiving touch input data indicating touch inputs on a touch surface of a touch sensing device, and from the touch input data:
The method enables detection of a special gesture made by a user. The special gesture is accomplished by the user by touching the touch surface with e.g. a finger and thereafter laying down the finger on the touch surface. The gesture is easy to remember and to make, and is versatile in that it can be used to manipulate an object in a predetermined way according to an action.
According to one embodiment, the method comprising determining a user object vector kuser connecting the first position with the second position. If the user object is e.g. a finger of the user, the orientation of the user object vector kuser will be related to the orientation of the user. According to a further embodiment, the GUI object has an orientation vector kGUI, wherein performing the action includes orienting the GUI object in a predetermined relation between the user object vector kuser and the orientation vector kGUI. Thus, the GUI object may be re-oriented such that it is displayed to the user in a predetermined orientation.
According to another embodiment, the user object vector kuser has a length L, and wherein the method comprises comparing the length L with a threshold, and determining that a special gesture has been detected also based on the comparison. Thus, a further requirement for determining the special gesture is achieved. The threshold is for example a length related to the anatomy of a finger. According to another embodiment, the threshold depends on the size of the first area a1 and/or the size of the second area a2.
According to a further embodiment, the method comprises determining if the second area a2 of the touch input has the shape of an oval. A further condition for determining that a special gesture has been detected is then that the second area a2 has the shape of an oval. The oval may have the same area as the area of a fingerprint, i.e. an area of the part of the fingerpalm that touches the touch surface when the fingerpalm is pressed against the surface. The area a2 preferably also has an elongated shape.
According to another embodiment, the method comprises determining if the first area a1 and the second area a2 at least partly overlap, whereby a further condition for determining that a special gesture has been detected is that the first area a1 and the second area a2 overlap. According to a still further embodiment, the method comprises determining if the second area a2 covers the first position of the geometric centre. A further condition for determining that a special gesture has been detected is then that the second area a2 covers the first position of the geometric centre.
According to a further embodiment, the method comprises determining a velocity of the geometric centre when moving from the first position to the second position and determining if the velocity is within a certain velocity interval, whereby a further condition for determining that a special gesture has been detected is that the velocity is within the interval.
Thus, more prerequisites for determining that a special gesture has been made are achieved. The special gesture can thereby be distinguished from other gestures and inputs on the touch surface.
According to a still further embodiment, the method comprises determining from the touch input data that an increased pressure compared to a threshold of the touch input has occurred, before determining that a special gesture has been determined. Thus, the special gesture may be further characterized by an increased pressure.
According to one embodiment, the touch input data comprises positioning data xnt, ynt and area data ant for each touch input. According to a further embodiment, the touch input data also comprises pressure data pnt for each touch input. The positioning data may for example be a geometric centre of a touch input. The pressure data is according to one embodiment the total pressure, or force, of the touch input. According to another embodiment, the pressure data is a relative pressure.
According to a second aspect, the object is at least partly achieved with a gesture interpretation unit for manipulation of a graphical user interface, GUI, object. The unit comprises a processor configured to receive touch input data indicating touch inputs on a touch surface of a touch sensing device. The unit further comprises a computer readable storage medium storing instructions operable to cause the processor to perform operations comprising:
Thus, a unit is achieved where the method according to the first aspect can be implemented.
According to a third aspect, the object is at least partly achieved with a touch sensing device comprising:
According to one embodiment, the touch sensing device is an FTIR-based (Frustrated Total Internal Reflection) touch sensing device.
According to a fourth aspect, the object is at least partly achieved with a computer readable storage medium comprising computer programming instructions which, when executed on a processor, are configured to carry out the method as described herein.
Any of the above-identified embodiments of the method may be adapted and implemented as an embodiment of the second, third and/or fourth aspects. Thus, the gesture interpretation unit may include instructions to carry out any of the methods as described herein.
Preferred embodiments are set forth in the dependent claims and in the detailed description.
Below the invention will be described in detail with reference to the appended figures, of which:
The touch surface 14 may be part of a touch sensitive display, a touch sensitive screen or a light transmissive panel 23 (
The touch surface 14 is configured to receive touch inputs from one or several users. The touch arrangement 2, the touch surface 14 and the touch control unit 15 together with any necessary hardware and software, depending on the touch technology used, detect the touch inputs. The touch arrangement 2, the touch surface 14 and touch control unit 15 may also detect touch inputs including movement of the touch inputs using any of a plurality of known touch sensing technologies capable of detecting simultaneous contacts with the touch surface 14, i.e. touches on the touch surface 14. Such technologies include capacitive, resistive, infrared, and surface acoustic wave technologies. An example of a touch technology which uses light propagating inside a panel will be explained in connection with
The touch arrangement 2 is configured to generate and send the touch inputs as one or several signals sy to the touch control unit 15. The touch control unit 15 is configured to receive the one or several signals sy and comprises software and hardware to analyse the received signals sy, and to determine touch input data including sets of positions xnt, ynt, area data ant and pressure data pnt on the touch surface 14 by processing the signal sy. Each set of touch input data xnt, ynt, ant, pnt may also include identification, an ID, identifying to which touch input the data pertain. Here “n” denotes the identity of the touch input. If the touch input is still or moved over the touch surface 14, without losing contact with it, a plurality of touch input data xnt, ynt, ant, pnt with the same ID will be determined. If the touch input is taken away from the touch surface 14, there will be no more touch input data with this ID. A position may also be referred to as a location. A position xnt, ynt referred to herein is according to one embodiment a geometric centre of the area ant. The touch control unit 15 is further configured to generate one or several touch signals sx comprising the touch input data, and to send the touch signals sx to a processor 12 in the gesture interpretation unit 13. The processor 12 may e.g. be a computer programmable unit (CPU). The gesture interpretation unit 13 also comprises a computer readable storage medium 11, which may include a volatile memory such as high speed random access memory (RAM-memory) and/or a non-volatile memory such as a flash memory.
The computer readable storage medium 11 comprises a touch module 16 (or set of instructions), and a graphics module 17 (or set of instructions). The computer readable storage medium 11 comprises computer programming instructions which, when executed on the processor 12, are configured to carry out the method according to any of the steps described herein. These instructions can be seen as divided between the modules 16, 17. The computer readable storage medium 11 may also store received touch input data comprising positions xnt, ynt on the touch surface 14, area ant and pressure pnt of the touch inputs with their IDs, respectively. The touch module 16 includes instructions to determine from the touch input data if the touch inputs have certain characteristics, such as being in a predetermined relation to each other and/or a GUI object 1, and/or if one or several of the touch inputs is/are moving, and/or if continuous contact with the touch surface 14 is maintained or is stopped, and/or the pressure of the one or several touch inputs. The touch module 16 thus keeps track of the touch inputs. Determining movement of a touch input may include determining a speed (magnitude), velocity (magnitude and direction) and/or acceleration (magnitude and/or direction) of the touch input or inputs.
The graphics module 17 includes instructions for rendering and displaying graphics via the GUI. The graphics module 17 controls the position, movements, and actions etc. of the graphics. More specifically, the graphics module 17 includes instructions for displaying at least one GUI object 1 (
The term “graphical” include any visual object that can be presented on the GUI and be visible for the user, such as text, icons, digital images, animations or the like. A GUI object can also include the whole visible user interface. Thus, if the user makes touch inputs on the touch surface 14 according to the method, a GUI object 1 will react to the touch inputs as will be explained in the following. The gesture interpretation unit 13 may be incorporated in any known touch sensing device 3 with a touch surface 14, wherein the device 3 is capable of presenting the GUI object 1 via a GUI visible on the touch surface 14, detect touch inputs on the touch surface 14 and to generate and deliver touch input data to the processor 12. The gesture interpretation unit 13 is then incorporated into the device 3 such that it can manipulate the GUI object 1 in predetermined ways when certain touch data has been determined.
As a start, a GUI object 1 is shown via the GUI of the touch sensing device 3. Alternatively, the GUI object 1 is not yet visible via the GUI, but will be upon making a special gesture. The user may now initiate interaction with the GUI object 1 by making certain touch inputs on the touch surface 14. To make the special gesture the user starts by making a touch input 4 on the touch surface 14 with a user object 5 (A1). The user object 5 may e.g. be a finger of the user or another object that can be laid down on the touch surface 14. The touch input 4 from the user object 5 on the touch surface 14 is thereafter determined (A2), wherein the touch input 4 has a first area a1 and a geometric centre at a first position 6. While continuous contact of the user object 5 with the touch surface 14 is maintained (A3), the user object 5 is laid down on the touch surface 14 (A4). The method determines that the finger has been laid down by determining a change of the geometric centre to a second position 7 (A5). When the geometric centre is in the second position a second area a2 of the touch input 4 is determined (A6). The second area a2 is then compared with the first area a1, and if the second area a2 is larger than the first area a1 (A7) it is determined that a special gesture has been detected (A8). The special gesture is associated with the GUI object 1 (A9) and the GUI object 1 is manipulated according to a predetermined action (A10). Examples of actions will be described in the following. If the second area a2 is not larger than the first area a1 (A7) it is determined that no special gesture can be determined. The method then returns to step A2.
As can be seen in
According to one embodiment, the method comprises determining a user object vector kuser 8 connecting the first position 6 with the second position 7. In
The GUI object 1 has according to one embodiment an orientation vector kGUI 9 as illustrated in
The user object vector kuser 8 has according to one embodiment a length L. This length L can be determined by calculating the distance between the positions 6, 7 of the geometric centres. The method may then comprise comparing the length L with a threshold; and determining that a special gesture has been detected also based on the comparison. The threshold is for example a length related to the anatomy of a finger, e.g. a length of the fingerpalm. The length of the fingerpalm of any person will never have a length exceeding 50 mm. Thus, the gesture can be further distinguished by having a length L of the vector kuser 8 not exceeding a threshold of 50 mm.
In
According to one embodiment, the threshold for the distance L between the positions 6, 7 of the geometric centre depends on the size of the first area a1 and/or the size of the second area a2. The threshold may be a factor multiplied with a square root of the first area a1 or multiplied with a square root of the second area a2, respectively, e.g. a factor 1, 1.5 or 2. The first area a1 is e.g. between 10-300 mm2. If the first area a1 then is 40 mm2 and the factor is 1.5, the threshold will be approximately 10 mm. Thus, in this case the distance L has to be smaller than 10 mm. Correspondingly, a threshold for L depending on the second area a2 can also be determined. The threshold may instead be a factor of a diameter of a circle with the area a1 or a2, or any of the axes of an ellipse with the approximate shape of a fingertip with the area a1, or the approximate shape of a fingerpad with the area a2. According to another embodiment, a further condition for determining that a special gesture has been made on the touch surface 14, is that the first area a1 and the second area a2 at least partly overlap. The gesture interpretation unit 13 then comprises instructions for determining if the first area a1 and the second area a2 at least partly overlap. The herein described embodiments can also be combined to further define combined characterising features for the gesture.
According to a further embodiment, the gesture is characterized by a velocity of the geometric centre when moving from the first position 6 to the second position 7 within a certain interval. The velocity is then determined and compared with the upper and lower limits of the interval to determine if the velocity is within the interval. If the velocity is within the interval, it is then determined that the special gesture has been made and has been detected. The certain velocity interval is e.g. 20-200 mm/s. Thus, a further prerequisite for determining a special gesture is that the gesture is made with a certain velocity. Consequently, if the user object 5 is a finger, it has to be laid down to the touch surface 14 with a certain velocity. According to another embodiment, the second area a2 must be determined within a certain time interval after the initial touch input to the touch surface was made, i.e. within a certain time after the first area a1 has been determined. The certain time interval is preferably between 0-4 s, e.g. 1-2, 1-3 or 1-4 s. Thus, the special gesture will then be a distinct gesture separated from routine-like nonspecific inputs.
The special gesture may be further characterized by one or several pressures. The user may exert pressure on the touch surface 14 when making the gesture, thus, pressing on the touch surface 14 at some time during the gesture. Thus, the method comprises according to one embodiment to determine from the touch input data that an increased pressure compared to a threshold of the touch input 4 has occurred, before determining that a special gesture has been determined. For example, a user may touch the touch surface 14 with a fingertip 5, press on the touch surface 14 with a pressure p1 (
In the text and figures it is referred to only one GUI object 1, but it is understood that a plurality of independent GUI objects 1 may be displayed via the GUI at the same time and that one or several users may manipulate different GUI objects 1 independently of each other as explained herein.
As explained before, the invention can be used together with several kinds of touch technologies. One kind of a known touch technology based on FTIR will now be explained. The touch technology can advantageously be used together with the invention to deliver touch input data xnt, ynt, ant, ant, pnt to the processor 12 of the gesture interpretation unit 13 (
In
As shown in the
The location of the touching objects 21, 22 may be determined by measuring the energy of light transmitted through the panel 23 on a plurality of detection lines. This may be done by e.g. operating a number of spaced apart light emitters 19 to generate a corresponding number of light sheets into the panel 23, and by operating the light detectors 20 to detect the energy of the transmitted energy of each light sheet. The operating of the light emitters 19 and light detectors 20 may be controlled by a touch processor 24. The touch processor 24 is configured to process the signals from the light detectors 20 to extract data related to the touching object or objects 21, 22. The touch processor 24 is part of the touch control unit 15 as indicated in the figures. A memory unit (not shown) is connected to the touch processor 24 for storing processing instructions which, when executed by the touch processor 24, performs any of the operations of the described method.
The light detection arrangement may according to one embodiment comprise one or several beam scanners, where the beam scanner is arranged and controlled to direct a propagating beam towards the light detector(s).
As indicated in
The detectors 20 collectively provide an output signal, which is received and sampled by the touch processor 24. The output signal contains a number of sub-signals, also denoted “projection signals”, each representing the energy of light emitted by a certain light emitter 19 and received by a certain light sensor 20. Depending on implementation, the processor 24 may need to process the output signal for separation of the individual projection signals. As will be explained below, the processor 24 may be configured to process the projection signals so as to determine a distribution of attenuation values (for simplicity, referred to as an “attenuation pattern”) across the touch surface 14, where each attenuation value represents a local attenuation of light.
Each frame starts by a data collection step B1, in which measurement values are obtained from the light detectors 20 in the FTIR system, typically by sampling a value from each of the aforementioned projection signals. The data collection step B1 results in one projection value for each detection line. It may be noted that the data may, but need not, be collected for all available detection lines in the FTIR system. The data collection step B1 may also include pre-processing of the measurement values, e.g. filtering for noise reduction.
In a reconstruction step B2, the projection values are processed for generation of an attenuation pattern. Step B2 may involve converting the projection values into input values in a predefined format, operating a dedicated reconstruction function on the input values for generating an attenuation pattern, and possibly processing the attenuation pattern to suppress the influence of contamination on the touch surface (fingerprints, etc.).
In a peak detection step B3, the attenuation pattern is then processed for detection of peaks, e.g. using any known technique. In this step a touch area of the detected peak is also extracted, as explained below. In one embodiment, a global or local threshold is first applied to the attenuation pattern, to suppress noise. Any areas with attenuation values that fall above the threshold may be further processed to find local maxima. The identified maxima may be further processed for determination of a touch shape and a center position, e.g. by fitting a two-dimensional second-order polynomial or a Gaussian bell shape to the attenuation values, or by finding the ellipse of inertia of the attenuation values. There are also numerous other techniques as is well known in the art, such as clustering algorithms, edge detection algorithms, standard blob detection, water shedding techniques, flood fill techniques, etc. Step B3 results in a collection of peak data, which may include values of position, attenuation, size, area and shape for each detected peak. The attenuation may be given by a maximum attenuation value or a weighted sum of attenuation values within the peak shape.
In a matching step B4, the detected peaks are matched to existing traces, i.e. traces that were deemed to exist in the immediately preceding frame. A trace represents the trajectory for an individual touching object on the touch surface as a function of time. As used herein, a “trace” is information about the temporal history of an interaction. An “interaction” occurs when the touch object affects a parameter measured by a sensor. Touches from an interaction detected in a sequence of frames, i.e. at different points in time, are collected into a trace. Each trace may be associated with plural trace parameters, such as a global age, an attenuation, a location, a size, a location history, a speed, etc. The “global age” of a trace indicates how long the trace has existed, and may be given as a number of frames, the frame number of the earliest touch in the trace, a time period, etc. The attenuation, the location, and the size of the trace are given by the attenuation, location and size, respectively, of the most recent touch in the trace. The “location history” denotes at least part of the spatial extension of the trace across the touch surface, e.g. given as the locations of the latest few touches in the trace, or the locations of all touches in the trace, a curve approximating the shape of the trace, or a Kalman filter. The “speed” may be given as a velocity value or as a distance (which is implicitly related to a given time period). Any known technique for estimating the tangential speed of the trace may be used, taking any selection of recent locations into account. In yet another alternative, the “speed” may be given by the reciprocal of the time spent by the trace within a given region which is defined in relation to the trace in the attenuation pattern. The region may have a pre-defined extent or be measured in the attenuation pattern, e.g. given by the extent of the peak in the attenuation pattern.
The matching step B4 may be based on well-known principles and will not be described in detail. For example, step B4 may operate to predict the most likely values of certain trace parameters (location, and possibly size and shape) for all existing traces and then match the predicted values of the trace parameters against corresponding parameter values in the peak data produced in the peak detection step B3. The prediction may be omitted. Step B4 results in “trace data”, which is an updated record of existing traces, in which the trace parameter values of existing traces are updated based on the peak data. It is realized that the updating also includes deleting traces deemed not to exist (caused by an object being lifted from the touch surface 14, “touch up”), and adding new traces (caused by an object being put down on the touch surface 14, “touch down”).
Following step B4, the process returns to step B1. It is to be understood that one or more of steps B1-B4 may be effected concurrently. For example, the data collection step B1 of a subsequent frame may be initiated concurrently with any one of the steps B2-B4.
The result of the method steps B1-B4 is trace data, which includes data such as positions (xnt, ynt) and area (ant) for each trace. This data has previously been referred to as touch input data.
The current attenuation of the respective trace can be used for estimating the current application force for the trace, i.e. the force by which the user presses the corresponding touching object against the touch surface. The estimated quantity is often referred to as a “pressure”, although it typically is a force. The process is described in more detail in the above-mentioned application No. 1251014-5. It should be recalled that the current attenuation of a trace is given by the attenuation value that is determined by step B2 (
According to one embodiment, a time series of estimated force values is generated that represent relative changes in application force over time for the respective trace. Thereby, the estimated force values may be processed to detect that a user intentionally increases or decreases the application force during a trace, or that a user intentionally increases or decreases the application force of one trace in relation to another trace.
Thus, each trace now also has force values, thus, the trace data includes position (xnt, ynt), area (ant) and force (also referred to as pressure) (pnt) for each trace. These data can be used as touch input data to the gesture interpretation unit 13 (
The present invention is not limited to the above-described preferred embodiments. Various alternatives, modifications and equivalents may be used. Therefore, the above embodiments should not be taken as limiting the scope of the invention, which is defined by the appending claims.
This application claims priority under 35 U.S.C. §119 to U.S. application No. 61/765,163 filed on Feb. 15, 2013, the entire contents of which are hereby incorporated by reference.
Number | Date | Country | |
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61765163 | Feb 2013 | US |