This invention relates generally to motion sensor devices. This invention relates more particularly to a motion sensor device for sensing rotation.
The use of a hand operated pointing device for use with a computer and its display has become almost universal. By far the most popular of the various devices is the conventional (mechanical) mouse, used in conjunction with a cooperating mouse pad. Centrally located within the bottom surface of the mouse is a hole through which a portion of the underside of a rubber-surfaced steel ball extends. Interior to the mouse are rollers, or wheels, that contact the ball at its equator and convert its rotation into electrical signals representing orthogonal components of mouse motion. These electrical signals are coupled to a computer, where software responds to the signals to change by a ΔX and a ΔY the displayed position of a pointer (cursor) in accordance with movement of the mouse.
In addition to mechanical types of pointing devices, such as a conventional mouse, optical pointing devices have also been developed. In one form of an optical pointing device, rather than using a moving mechanical element like a ball in a conventional mouse, movement between an imaging surface, such as a finger or a desktop, and photo detectors within the optical pointing device, is optically sensed and converted into movement information.
The photo detectors in optical pointing devices are typically implemented in a flat, two-dimensional array. The array of photo detectors is capable of measuring absolute two-dimensional movement. As the array moves across an image, or the image moves across a stationary array, motion can be detected by comparing successive images. The sensed motion is in terms of the number of pixels that the image on the pixel array has moved. The array is typically at a fixed distance and a fixed angle from the surface being imaged, so the motion that is sensed is absolute (within the error tolerance of the system).
Existing optical sensors, such as those used in optical pointing devices, sense movement in an X and Y direction, but do not sense rotation. It would be desirable to provide a sensing apparatus using multiple two-dimensional photo detector arrays for sensing rotation of the apparatus.
One form of the present invention provides an apparatus for sensing rotation. The apparatus includes a plurality of motion sensors constructed in a substantially coplanar arrangement. The plurality of motion sensors is each configured to generate incremental movement data indicative of movement of the sensor in two dimensions. A rotation data generator generates rotation data based on the incremental movement data. The rotation data represents rotation of a first one of the motion sensors about a second one of the motion sensors.
In the following detailed description of the preferred embodiments, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. It is to be understood that other embodiments may be utilized and structural or logical changes may be made without departing from the scope of the present invention. The following detailed description, therefore, is not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims.
I. Motion Sensing With a Single Optical Motion Sensor
The operation of optical motion sensor 16 is primarily controlled by system controller 162, which is coupled to multiplexer 156, A/D converter 158, correlator 160, shutter controller 164, and light controller 166. In operation, according to one embodiment, light source 2 emits light that is projected by lens 4 onto surface 6, which is a desktop or other suitable imaging surface. Light source 2 is controlled by signals from light controller 166. Reflected light from surface 6 is directed by lens 8 onto photo detector array 148. Each photo detector in photo detector array 148 provides a current that varies in magnitude based upon the intensity of light incident on the photo detector.
Electronic shutter 150 is controlled by a shutter signal from shutter controller 164. When electronic shutter 150 is “open,” charge accumulates on sense capacitors 154, creating a voltage that is related to the intensity of light incident on the photo detectors in array 148. When electronic shutter 150 is “closed,” no further charge accumulates or is lost from sense capacitors 154. Multiplexer 156 connects each sense capacitor 154 in turn to amplifier 157 and A/D converter 158, to amplify and convert the voltage from each sense capacitor 154 to a digital value. Sense capacitors 154 are then discharged through electronic shutter 150 so that the charging process can be repeated.
Based on the level of voltage from sense capacitors 154, A/D converter 158 generates a digital value of a suitable resolution (e.g., one to eight bits) indicative of the level of voltage. The digital values for the photo detector array 148 represent a digital image or digital representation of the portion of the desktop or other imaging surface under optical mouse 10. The digital values are stored as a frame into corresponding locations within an array of memory within correlator 160.
The overall size of photo detector array 148 is preferably large enough to receive an image having several features. Images of such spatial features produce translated patterns of pixel information as optical mouse 10 moves over a surface. The number of photo detectors in array 148 and the frame rate at which their contents are captured and digitized cooperate to influence how fast optical mouse 10 can be moved across a surface and still be tracked. Tracking is accomplished by correlator 160 by comparing a newly captured sample frame with a previously captured reference frame to ascertain the direction and amount of movement. In one form of the invention, motion tracking is accomplished using techniques disclosed in the related patents identified above in the Reference to Related Patents section.
In one embodiment, the entire content of one of the frames is shifted by correlator 160 by a distance of one pixel successively in each of the eight-directions allowed by a one pixel offset trial shift (one over, one over and one down, one down, one up, one up and one over, one over in the other direction, etc.). That adds up to eight trials. Also, since there might not have been any motion, a ninth trial “null shift” is also used. After each trial shift, those portions of the frames that overlap each other are subtracted by correlator 160 on a pixel by pixel basis, and the resulting differences are preferably squared and then summed to form a measure of similarity (correlation) within that region of overlap. Larger trial shifts are possible, of course (e.g., two over and one down), but at some point the attendant complexity ruins the advantage, and it is preferable to simply have a sufficiently high frame rate with small trial shifts. The trial shift with the least difference (greatest correlation) can be taken as an indication of the motion between the two frames. That is, it provides raw movement information that may be scaled and or accumulated to provide movement information (ΔX and ΔY) of a convenient granularity and at a suitable rate of information exchange.
In addition to providing digital images to correlator 160, A/D converter 158 also outputs digital image data to shutter controller 164. Shutter controller 164 helps to ensure that successive images have a similar exposure, and helps to prevent the digital values from becoming saturated to one value. Controller 164 checks the values of digital image data and determines whether there are too many minimum values or too many maximum values. If there are too many minimum values, controller 164 increases the charge accumulation time of electronic shutter 150. If there are too many maximum values, controller 164 decreases the charge accumulation time of electronic shutter 150.
II. Rotation Sensor Overview
As described above, optical mouse 10 uses a single optical motion sensor 16 for generating ΔX and ΔY movement data. One embodiment of the present invention generates rotation data based on ΔX and ΔY data generated by two optical motion sensors 16 (also referred to as optical motion sensors A and B, which are shown in FIG. 3). The two sensors A and B are collectively referred to as a rotation sensor.
The two sensors A and B are positioned at a known distance apart, and in a known orientation. There are a variety of possible orientations of the two sensors, as described below with reference to FIG. 3. The output from each sensor A and B is a Δx and a Δy count since the last position report. In one embodiment, sensors A and B measure position once a frame, which can occur at any defined interval. For current navigation sensors, the frame rate is typically 1500 to 2000 frames per second, either with the sensor reporting position once each frame, or via an I/O port, 100 to 200 times per second. In one embodiment, sensors A and B are operated at the same frame rate, and “re-reference” at the same time. The term “re-reference” refers to the storing of a new reference frame, which can occur when the sensor has moved from the original reference frame and the overlap between the current frame and the reference frame is decreasing. Re-referencing can also occur after times of no movement, so that the current reference frame is recent.
III. Rotation Sensor Orientation and Alignment
In each orientation, the two sensors (A and B) are placed a known distance, d, apart. In one embodiment, sensor A is at the origin coordinates (0,0), and sensor B is at different coordinates, which depend on the orientation and alignment of, and distance between, the two sensors. The following Table I provides coordinates for sensor B for the various orientations illustrated in
As shown in
IV. Motion of Rotation Sensor
As shown in
A. General Orientation
1. Determining the Angle of Rotation
For the general orientation, after the translation of sensor A is subtracted out, the resulting figure is an isosceles triangle.
A formula for a general triangle that relates the sides to the angle α is provided in the following Equation I:
In this case:
Inserting these values for a, b, and c into Equation I, and solving for the angle of rotation, α, results in the following Equation II:
Equation II always results in a positive value for the angle of rotation. To identify the direction of rotation, the sign of α is determined as described below.
2. Determining the Sign of α
To determine the sign of α, the general orientation undergoes a coordinate transformation to rotate the initial position back to the Y-axis, which allows an easy determination of the sign of the rotation.
After performing the matrix multiplication in Equation III, the following Equations IV and V are obtained:
x′=x cos α−y sin α Equation IV
y′=x sin α+y cos α Equation V
Substituting α=−θ into Equations IV and V results in the following Equations VI and VII:
x′=x cos(−θ)−y sin(−θ) Equation VI
y′=x sin(−θ)+y cos(−θ) Equation VII
Substituting cos(−θ)=cos θ and sin(−θ)=−sin θ into Equations VI and VII results in the following Equations VIII and IX:
x′=x cos θ+y sin θ Equation VIII
y′=−x sin θ+y cos θ Equation IX
Substituting x=(−d sin θ+Δx) and y=(d cos θ+Δy) into Equations VIII and IX results in the following Equations X and XI:
x′=(−d sin θ+Δx) cos θ+(d cos θ+Δy)sin θ Equation X
y′=−(−d sin θ+Δx)sin θ+(d cos θ+Δy)cos θ Equation XI
Rearranging terms in Equations X and XI results in the following Equations XII and XIII:
x′=Δx cos θ−d sin θ cos θ+d sin θ cos θ+Δy sin θ Equation XII
y′=d sin2 θ−Δx sin θ+d cos2 θ+Δy cos θ Equation XIII
Combining terms in Equations XII and XIII results in the following Equations XIV and XV:
x′=Δx cos θ+Δy sin θ Equation XIV
y′=d(sin2 θ+cos2 θ)−Δx sin θ+Δy cos θ Equation XV
Applying the Pythagorean identity, sin2 θ+cos2 θ=1, to Equation XV, results in the following Equation XVI:
y′=d−Δx sin θ+Δy cos θ Equation XVI
After solving Equation XIV for x′ using the appropriate θ from Table II above, the sign of α is determined, which is the inverse of the sign of x′. In an alternative embodiment, y′ from Equation XVI could be used to determine the sign of α.
B. First Special Orientation
1. Determining the Angle of Rotation
Since the starting axis between sensor A and sensor B is vertical in the first special orientation, the general formula given in Equation II for the angle of rotation, α, can be simplified. The distance (BΔx−AΔx) is perpendicular to the axis between sensors A and B. Since the distance between A and B is known to be d, the angle α is determined from the following Equation XVII:
The general formula given in Equation II can also be used to determine the angle of rotation for the first special orientation.
2. Determining the Sign of α
The appropriate sign of a can be determined for the first special orientation in either the normal or vertical mirror alignment from the following Table III:
C. Second Special Orientation
1. Determining the Angle of Rotation
Since the starting axis between sensor A and sensor B is horizontal in the second special orientation, the general formula given in Equation II for the angle of rotation can be simplified. The distance (BΔy−AΔy) is perpendicular to the axis between sensors A and B. Since the distance between A and B is known to be d, the angle α can be determined from the following Equation XVIII:
The general formula given in Equation II can also be used to determine the angle of rotation for the second special orientation.
2. Determining the Sign of α
The appropriate sign of α can be determined for the second special orientation in either the normal or horizontal mirror alignment from the following Table IV:
D. Third Special Orientation
1. Determining the Angle of Rotation
The general formula given in Equation II can be used to determine the angle of rotation for the third special orientation.
2. Determining the Sign of α
The appropriate sign of α, can be determined for the third special orientation in the normal, horizontal mirror, vertical mirror, and horizontal and vertical mirror alignments from the following Table V:
V. Center of Rotation
The center of rotation of sensors A and B can be determined using the angle of rotation, and the beginning and final positions of sensors A and B. For a beginning position, (x, y), that is rotated by an angle a to a new position (x′, y′) around an arbitrary center of rotation point (x0, y0), the following Equation XIX provides a relationship for the rotation and translation of a set of Cartesian coordinates:
Expanding the terms in Equation X results in the following Equations XX and XXI for x′ and y′, respectively, which is the final position:
x′=x0+x cos α−x0 cos α−y sin α+y0 sin α Equation XX
y′=y0+x sin α−x0 sin α+y cos α−y0 cos α Equation XXI
Since the beginning point,(x, y), the final point, (x′, y′), and the angle α are known, the rotation point (x0, y0) can be determined by rearranging Equations XX and XXI to arrive at the following Equations XXII and XXIII:
Since the original position, (x, y), of sensor A is the origin, (0,0), Equations XXII and XXIII can be simplified to the following Equations XXIV and XXV, respectively:
VI. Rotation Sensor Implementations
The two navigation sensors A and B can be implemented as two separate sensors, oriented in the same direction, separated by a distance that is equal to or greater than the sensor package size. Increasing the distance between sensors A and B will result in a larger system sensor, but greater sensitivity to slower rotations. The first and second special orientations are the easiest to implement.
The two sensors A and B can also be integrated into one sensor die, with sensor A and sensor B being subsets of the entire sensor. For example,
Table VI below shows all of the possible two sub array combinations of sensor array 200, along with the corresponding special orientations and alignments of sensors A and B.
The two optical motion sensors 16 each output Δx and Δy data to rotation data generator 302. Based on the Δx and Δy data received from the two sensors 16, and on stored information regarding the particular orientation, alignment and separation of the two sensors 16, rotation data generator 302 calculates rotation data and center of rotation data as described above, and outputs this data. In one embodiment, the rotation data represents rotation about the sensor 16 corresponding to sensor A (with positive rotation being defined as counterclockwise), and the center of rotation data represents the (x, y) coordinates of the center of rotation of the two sensors 16 relative to the origin, wherein the origin is the original location of the sensor 16 corresponding to sensor A.
In one form of the invention, the frame of reference should not rotate more than about ten degrees between frames for good correlation to determine Δx and Δy movement. In one embodiment, the equations shown above are valid for a range of ±90 degrees or 0 to 180 degrees, but the maximum rotation between frames should be less than 10 degrees.
Current optical navigation sensors 16 typically operate in the range of 1500 to 2000 frames per second. The actual report rate to a computer or other device is typically between 100 to 200 reports per second. Due to the difference between the measurement rate and the report rate, the Δx and Δy information is accumulated and then output.
The maximum rotation speed of rotation sensor 300 is determined by the angle that the sensor 300 can be rotated before the correlation between frames degrades to the point where good (X, Y) navigation begins to fail. Assuming that a rotation of 10 degrees occurs between frames, with a frame rate of 1500 frames per second, the maximum rotation is 41.6 revolutions per second, or 2500 rpm.
The minimum rotation speed is the speed that results in a minimum Δx and Δy count between the sensors 16. This is dependent upon the frame rate and the distance between sensors 16. If the distance between sensors 16 is increased, the minimum rotation speed that can be seen is lowered. Since the navigation sensors 16 typically only report data between 100 to 200 times per second, Δx and Δy counts should be accumulated over a number of frames.
Due to the fact that, in one embodiment, the rotation data is determined from the Δx and the Δy values, and the fact that the Δx and Δy values typically have noise in them, the rotation data is filtered (i.e., averaged, smoothed, weighed filters) in one form of the invention to dampen the changes in the rotation data and provide improved noise performance.
It will be understood by a person of ordinary skill in the art that functions performed by rotation sensor 300 may be implemented in hardware, software, firmware, or any combination thereof. The implementation may be via a microprocessor, programmable logic device, or state machine. Components of the present invention may reside in software on one or more computer-readable mediums. The term computer-readable medium as used herein is defined to include any kind of memory, volatile or non-volatile, such as floppy disks, hard disks, CD-ROMs, flash memory, read-only memory (ROM), and random access memory.
The two sensors 16 and rotation data generator 302 can be implemented as a single integrated circuit package or as separate packages. In alternative embodiments, rotation data generator 302 may be incorporated in an external device, such as a computer or other electronic device.
Although an optical motion sensor 16 has been discussed above in the context of an optical mouse, it will be understood that embodiments of the present invention are not limited to an optical mouse, and that the techniques described herein are also applicable to other devices where rotation sensing is desired, such as in game controllers, gestural controllers, personal digital assistant (PDA) devices, cellular telephones, or other devices.
Although specific embodiments have been illustrated and described herein for purposes of description of the preferred embodiment, it will be appreciated by those of ordinary skill in the art that a wide variety of alternate and/or equivalent implementations may be substituted for the specific embodiments shown and described without departing from the scope of the present invention. Those with skill in the chemical, mechanical, electro-mechanical, electrical, and computer arts will readily appreciate that the present invention may be implemented in a very wide variety of embodiments. This application is intended to cover any adaptations or variations of the preferred embodiments discussed herein. Therefore, it is manifestly intended that this invention be limited only by the claims and the equivalents thereof.
This Application is related to the subject matter described in the following U.S. patents: U.S. Pat. No. 5,578,813, filed Mar. 2, 1995, issued Nov. 26, 1996, and entitled FREEHAND IMAGE SCANNING DEVICE WHICH COMPENSATES FOR NON-LINEAR MOVEMENT; U.S. Pat. No. 5,644,139, filed Aug. 14, 1996, issued Jul. 1, 1997, and entitled NAVIGATION TECHNIQUE FOR DETECTING MOVEMENT OF NAVIGATION SENSORS RELATIVE TO AN OBJECT; U.S. Pat. No. 5,786,804, filed Oct. 6, 1995, issued Jul. 28, 1998, and entitled METHOD AND SYSTEM FOR TRACKING ATTITUDE; U.S. Pat. No. 6,057,540, filed Apr. 30, 1998, issued May 2, 2000, and entitled MOUSELESS OPTICAL AND POSITION TRANSLATION TYPE SCREEN POINTER CONTROL FOR A COMPUTER SYSTEM; U.S. Pat. No. 6,151,015, filed Apr. 27, 1998, issued Nov. 21, 2000, and entitled PEN LIKE COMPUTER POINTING DEVICE; U.S. Pat. No. 6,281,882, filed Mar. 30, 1998, issued Aug. 28, 2001, and entitled PROXIMITY DETECTOR FOR A SEEING EYE MOUSE; and U.S. patent application Ser. No. 10/004,512, filed Oct. 26, 2001, and entitled APPARATUS AND METHOD FOR THREE-DIMENSIONAL RELATIVE MOVEMENT SENSING.
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