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`UNITED STATES PATENT AND TRADEMARK OFFICE
`____________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`____________
`
`APPLE INC.,
`Petitioner,
`
`v.
`
`QUALCOMM INCORPORATED,
`Patent Owner.
`____________
`
`Case IPR2018-01245
`Patent 8,665,239 B2
`____________
`
`Record of Oral Hearing
`Held: October 10, 2019
`____________
`
`
`
`
`Before TREVOR M. JEFFERSON, AMANDA F. WIEKER, and
`AARON W. MOORE, Administrative Patent Judges.
`
`
`

`

`Case IPR2018-01245
`Patent 8,665,239 B2
`
`
`
`APPEARANCES:
`
`ON BEHALF OF THE PETITIONER:
`
`
`GRETCHEN A. DeVRIES, Ph.D., ESQ.
`TIMOTHY W. RIFFE, ESQ.
`W. KARL RENNER, ESQ,
`Fish & Richardson P.C.
`1000 Maine Avenue, S.W.
`Washington, D.C. 20024
`202-626-6447
`
`
`
`ON BEHALF OF THE PATENT OWNER:
`
`
`CHAD C. WALTERS, ESQ.
`CHARLES Y. YEH, ESQ.
`Baker Botts, LLP
`2001 Ross Avenue
`Dallas, Texas 75201-2980
`214-953-6511
`
`
`
`
`The above-entitled matter came on for hearing on Thursday, October
`
`10, 2019, commencing at 9:00 a.m., at the U.S. Patent and Trademark
`Office, 600 Dulany Street, Alexandria, Virginia.
`
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`Case IPR2018-01245
`Patent 8,665,239 B2
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`
`P R O C E E D I N G S
`- - - - -
`
`
`
`THE USHER: All rise.
`JUDGE WIEKER: Please have a seat. Good morning everyone. We
`are here today to hear argument in Case Number IPR2018-01245, between
`Apple Inc. and Qualcomm Incorporated, concerning U.S. Patent Number
`8,665,239 B2.
`I’m Judge Wieker. And with me is, Judge Jefferson and Judge
`Moore. Counsels for the parties, please introduce yourselves, starting with
`Petitioner.
`MR. RENNER: Good morning, Your Honors. This is Karl Renner,
`from Fish & Richardson. I’m joined by colleagues Tim Riffe and Gretchen
`DeVries.
`JUDGE WIEKER: Thanks for being here. Will you be arguing
`today?
`MR. RENNER: Actually, Gretchen DeVries will be starting us off
`today. And we’ll plan -- just to get the formality out of the way -- to reserve
`25 minutes in redirect.
`JUDGE WIEKER: Thank you.
`MR. RENNER: Thank you.
`JUDGE WIEKER: And for Patent Owner?
`MR. WALTERS: Good morning, Your Honors. This is Chad
`Walters of Baker Botts, for Patent Owner Qualcomm. With me is my
`colleague Charles Yeh. We also have a number of representatives for
`Qualcomm. They have a number of IPRs this week to that they (inaudible).
`Thank you.
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`JUDGE WIEKER: Okay. And you’ll be arguing today?
`MR. WALTERS: Yes.
`JUDGE WIEKER: Thanks. As discussed in our September 23rd
`Order, each side will have an hour of total time to argue. Petitioner will go
`first. Patent Owner will go second. Both parties may reserve rebuttal time,
`and I understand that Petitioner would like to reserve 25 minutes. Mr.
`Walters, would you like to reserve rebuttal time?
`MR. WALTERS: I would, Your Honor, 20 minutes, please.
`JUDGE WIEKER: Okay. Thank you. And just a few quick
`reminders. Petitioner bears the burden of proving any proposition of
`unpatentability by a preponderance of the evidence. Also, as a reminder,
`this hearing is open to the public. A full transcript will be part of the record
`when it’s completed. And finally, please remember during your presentation
`to identify each demonstrative slide number as you refer to it, so it is
`reflected in the record.
`And with that, Ms. DeVries, you’re free to begin when you’re ready.
`MS. DeVRIES: Good morning, Your Honors. I’m Gretchen
`DeVries. And I’d like to talk to you about the four claims of the ’239
`Patent, all of which are directed to the broad idea of computer-implemented
`recognizing of gestures that are drawn on a touchscreen interface, and then
`the execution of actions that correspond to those gestures. This gesture
`recognition approach of the ’239 Patent is nothing inventive though, as
`we’ve demonstrated in the two art grounds we advanced in the petition.
`Qualcomm has proposed a set of substitute claims in the motion to
`amend, and we’ve demonstrated also that the substitute claims are
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`Case IPR2018-01245
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`unpatentable, as well as that the motion to amend should be denied on
`procedure.
`Slide 4, please. We advanced two distinct art grounds in the petition,
`each of which addresses all four claims of the ’239 Patent. Today rather than
`walking stepwise through each ground in each claim, we’d like to focus on
`just a few issues that we think would benefit from further discussion.
`Slide 7, please. But before we get into the grounds, I’d like to take
`just a brief look at claim 1 of the ’239 Patent, which recites only generic
`steps related to receiving and responding to touch input. Steps such as
`determining a magnitude of a touch on the touchscreen, that’s in the middle
`of the left-hand column.
`Identifying a gesture based on properties of the touch, which you see
`also in the left-hand column of the claim. And identifying and executing an
`operation that corresponds to that identified gesture, and that’s at the top of
`the right column. These steps are not inventive, gesture recognition was
`well known in the art as of the critical date.
`And even the last two limitations of the claim, which specify that
`magnitude of the touch is involved in either gesture identification or in the
`execution of the operations, are not sufficient to make the claim inventive.
`As our grounds have demonstrated, as of the critical date it was common to
`rely on touch magnitude for gesture recognition and for execution of the
`corresponding actions.
`Slide 9, please. So, let’s turn to the art grounds. In our first ground
`which shows that the claims are obvious over the combination of Hullender
`and Renaud.
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`Case IPR2018-01245
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`Slide 19, please. Hullender discloses various approaches to computer
`implemented gesture recognition in a touchscreen context. Today I’d like to
`focus on just one aspect of Hullender’s disclosure, which is the role of
`Hullender’s data structure in gesture recognition.
`The claims of the ’239 Patent require that a gesture be identified from
`a collection of user gestures, and as we’ll discuss the evidence has shown
`that it was obvious to identify a gesture from Hullender’s data structure.
`This is the only aspect of Hullender that Qualcomm criticizes in this
`Hullender and Renaud ground.
`Slide 11, please. Hullender discloses two gesture recognition
`embodiments, each of which is a step-by-step process for identifying a
`gesture that’s input on a touchscreen. Looking at the upper left of the slide,
`this is the -- this is a portion of one of Hullender’s step-by-step gesture
`recognition embodiments. And you see that the last step in this process is to
`send a gesture ID to the -- I’m sorry -- system or application.
`Hullender also discloses a data structure that’s shown in the lower left
`of slide 11, and this data structure includes a gesture ID for each gesture
`that’s represented in that data structure.
`Now, Hullender doesn’t explain exactly what is the role of this data
`structure, other than a general indication that the data structure can go along
`with embodiments of the invention, but given, first, that we have
`Hullender’s instructions to send a gesture ID somewhere, as part of a gesture
`recognition process, that’s in the upper left, and that we also a data structure
`that contains gesture IDs, the evidence has shown that it was obvious to
`identify that gesture from the data structure that you see here, in order to
`enable compliance with the last step of that gesture recognition process.
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`Slide 14, please. There are just --
`JUDGE MOORE: I’m sorry.
`MS. DeVRIES: Yes.
`JUDGE MOORE: How does Hullender identify a gesture?
`MS. DeVRIES: Hullender identifies a gesture, he describes a number
`of embodiments for gesture identification, one is described with respect to
`Figure 4, and one with respect to Figure 8, and they start with receiving a
`touch input on a screen to go through some processes that describe
`algorithms for gesture identification. And in one of these embodiments, the
`Figure 8 embodiment, it ends with sending the gesture ID through to a
`system or application, that’s what we just discussed.
`JUDGE MOORE: But it doesn’t -- does it describe exactly how the
`gesture is identified?
`MS. DeVRIES: It describes a few ways, let’s see. One of the
`processes of -- process with respect to Figure 4, and that describes how a
`gesture -- strokes that are input on a touchscreen can be identified as a
`gesture. There’s another process in Figure 8 which describes in some more
`detail another embodiment, by which a stroke. So, Hullender isn’t limited to
`just one approach to gesture recognition, it describes a few embodiments
`that can be used to recognize touches on a touchscreen as a gesture.
`JUDGE MOORE: Okay.
`MS. DeVRIES: All right. We are on slide 14. And I’d like to just
`mention two issues that I think are worthwhile to have a brief discussion
`with respect to this Hullender and Renaud ground. Both of these issues
`involve Qualcomm postulating some unsupported interpretations of
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`Hullender that Qualcomm alleges would preclude the use of Hullender’s
`data structure in gesture recognition.
`First, Qualcomm has argued that Hullender is limited to the use of
`Bayes nets in gesture recognition processes. But as the Board has already
`acknowledged, Bayes net are just an optional aspect of Hullender’s
`disclosure, they’re just an optional portion of one of those gesture
`recognition embodiments that Hullender discloses.
`The second issue relates to Qualcomm’s positing of some other
`unsupported alternatives, they proposed hypothetical explanations for things
`like where that gesture ID might come from, and how the data structure
`might be used. But these arguments failed because we’ve asserted
`obviousness with regard to the role of the data structure in gesture
`identification. And the possibility of some imagined other alternatives
`cannot disprove this obviousness contention.
`JUDGE WIEKER: Can I ask you a question? And I’ll be asking
`Patent Owner’s Counsel the same thing. So, the claim language says,
`“Identifying from the collection of user gestures, at least one user gesture . . .
`.”
`
`MS. DeVRIES: Mm-hmm.
`JUDGE WIEKER: So, the way I understand Patent Owner’s
`argument is that the identifying step must somehow be essentially using the
`data structure to do the identification process, and the problem with
`Hullender, as Qualcomm sees it, is that they use Bayes nets. So, do you
`think that’s a fair reading the claim language? Or do you think as we argued
`in -- or not argued -- as we found in the institution decision that the claim
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`language simply requires identifying a gesture from among those stored in
`the collection of user gestures?
`MS. DeVRIES: We are looking at the claim language as it reads on
`the page, which it says, identifying a gesture from that collection of user
`gestures.
`JUDGE WIEKER: Right.
`MS. DeVRIES: And we believe that doing so would have been
`obvious given what Hullender tells us. Hullender describes the use of this
`gesture ID, and then only provides one place where that gesture ID can be
`found. So, we believe that POSITA would have found it obvious to identify
`a gesture from that collection of user gestures, in order to -- you know, to
`implement the full process that Hullender has described.
`JUDGE WIEKER: Okay. Thank you.
`MS. DeVRIES: All right. I’m going to jump all the way to slide 36
`now please, and turn to our second ground.
`JUDGE WIEKER: Can we go back actually, and discuss the
`analogous art argument. Qualcomm argues essentially that every computer-
`based technology confronts issues of data storage and data processing, and
`where that happens, and that that alone wouldn’t make Renaud analogous to
`Hullender. Can you address that contention, please?
`MS. DeVRIES: Absolutely. We were planning to leave that to my
`end -- to the end only because my colleague, Tim, was going to do that. But
`we can certainly do it now if you’d like.
`JUDGE WIEKER: That’s okay. I don’t need to disrupt your flow.
`MS. DeVRIES: We just didn’t want to be jumping up and down.
`JUDGE WIEKER: Okay.
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`MS. DeVRIES: All right. So well, certainly, we’ll turn to that at the
`end, but in the meantime we’ll turn to our second ground, which is that the
`claims are unpatentable over Kiraly and Agulnick.
`Slide 37, please? Kiraly discloses computer-implemented recognition
`of gestures, and execution of corresponding actions. So, Kiraly’s approach
`to gesture recognition matches well to many of the features of the ’239
`Patent claims. The primary piece that’s missing from Kiraly is that Kiraly is
`not a touch-screen system, Kiraly describes receiving gestures that are
`inputted on some kind of input device that’s distinct from the display, like a
`touchpad input system.
`And this is where Agulnick comes in. Slide 38, please. Agulnick also
`relates to computer-implemented gesture recognition, but this time in the
`context of a notebook computer with a touch-sensitive display surface.
`As you can see in the figure on the right of slide 38, Agulnick’s touch-
`sensitive display is implemented with a position digitizer, that’s pointed
`toward the blue arrow, and that position digitizer is mounted behind an
`LCD, which is shown in purple. This structure of Agulnick’s touch-
`sensitive display screen enables the display to sense the proximity of the
`stylus to the surface and also to sense contact between the stylus and the
`surface.
`And this proximity-sensing technology, both gives richness to the
`gesture available -- I’m sorry -- the gesture vocabulary that’s available in the
`Agulnick system. And also provides good feedback and usability to a user
`of the system.
`Slide 39, please. Now in the context of these two specific references,
`Kiraly and Agulnick, we walked through in the petition how to implement
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`Case IPR2018-01245
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`Kiraly as a touchscreen system, in light of Agulnick’s teachings of
`touchscreen systems. And notably, as you can see in the middle of the left-
`hand column of slide 39, we give a specific example of how the structure of
`Agulnick’s touchscreen display, what we just discussed on the previous
`slide, could be incorporated into Kiraly’s system.
`That is, we discussed incorporating a position digitizer in conjunction
`with an LCD display. Now, naturally when we modify Kiraly to become a
`touchscreen system, the input mechanism of that modified system now
`changes such that gesture input would be provided via that touchscreen.
`And in particular, since we’ve discussed implementing Agulnick’s
`proximity sensing touchscreen in this modified system, the input would
`notbe provided via the proximity detection approach that’s enabled by
`Agulnick’s specific touchscreen.
`Slide 40, please? In the petition we noticed -- we noted both general
`advantages of incorporating a touchscreen into Kiraly’s system, as well as
`specific advantages that arise from integrating Agulnick’s particular
`touchscreen into the system. One advantage of a generic touchscreen that’s
`easy to understand is the usability enhancement that comes about when a
`user in the touchscreen system can draw a gesture directly on the display,
`and directly over the displayed content.
`This direct interaction between the user and the display, and the
`display content, eliminates the disconnect that’s present in Kiraly’s system
`when a user has to use a separate input device like a mouse or a touchpad, to
`control a cursor that’s displayed on a separate display device. And so this
`direct interaction between the user, the display, and the content, results in a
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`Case IPR2018-01245
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`system that provides better feedback and more intuitive operation for the
`user.
`
`And beyond these general advantages that are available by
`incorporating a touchscreen into Kiraly’s system, we also pointed out in the
`Petition how further advantages flow form incorporating Agulnick’s
`particular touchscreen into Kiraly’s system. How we can incorporate the
`particular proximity sensing technology of Agulnick’s touchscreen, and its
`advantages.
`Then as the record developed, when challenged, we expanded on its
`discussion of the advantages that flow from Agulnick’s particular proximity-
`sensing touchscreen. And in particular, Agulnick’s proximity-sensing
`technology enables for seamless sensing of the start and the end of a gesture.
`Kiraly by contrast, before its modification, uses an unwieldy
`triggering event to indicate the start and the end of a gesture. So, when we
`combine Kiraly with Agulnick’s proximity-sensing touchscreen, we obviate
`the need for this complexity of Kiraly’s triggering events, providing a
`simpler and more intuitive user experience.
`JUDGE WIEKER: And you said that the triggering discussion is new
`to the reply and in response to Patent Owner’s argument? Correct?
`MS. DeVRIES: The triggering discussion specifically is in the reply.
`JUDGE WIEKER: Okay.
`MS. DeVRIES: But we expanded on our arguments regarding
`motivation to combine that we presented in the Petition, and that’s shown on
`slide 40, the next step of those arguments.
`JUDGE WIEKER: Thank you.
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`MS. DeVRIES: Slide 41, please. Qualcomm has repeatedly argued,
`both for the existing claims, and also later for the substitute claims that
`they’ve proposed in the motion to amend, that Kiraly and Agulnick are not
`combinable because of something called gorilla arm syndrome. This is the
`name for the discomfort and fatigue that users of vertically-oriented
`touchscreens are said by Qualcomm to sometimes experience.
`Vertically-oriented here refers, first to a display that’s more or less
`straight up -- straight up and down, like a standard desktop computer
`display. The record before you, including Qualcomm’s own evidence,
`demonstrates that gorilla arm syndrome, to the extent that it’s relevant at all,
`does not impede or undermine the motivation that drives the combination of
`Kiraly and Agulnick.
`Now, we note that in the Institution Decision you asked for further
`exploration of this issue, so I’d like to talk through this in a little more detail
`just to be sure that you have no lingering concerns here.
`Slide 42, please. Qualcomm’s entire gorilla arm argument is wholly
`reliant on the unsustainable assumption that Kiraly is limited to a vertical
`display orientation. But it’s not. And Qualcomm’s argument collapses
`when Kiraly is read without that artificial display configuration restriction
`that Qualcomm has tried to impose.
`At the very least, Kiraly is silent as to display configuration, and it
`seems that Qualcomm has tried to read this silence as a requirement for the
`display to be vertically oriented, but this makes no sense. Kiraly does refer
`to a computer system that can be a desktop computer, we see that at the
`lower-left of slide 42, but Kiraly makes clear that this is an exemplary
`computer system, and also notes in that very same sentence, that various
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`types of computer systems can be use. So, certainly the configuration of that
`exemplary computer system, 112, is not a limiting disclosure.
`The relevant question here is how Kiraly would be interpreted by a
`POSITA as of the critical date. And with that in mind, it’s clear that
`Kiraly’s display technology is not limiting to vertically-oriented
`touchscreens. For instance, as you see in the upper-right of slide 42, Kiraly
`lists a number of possible display devices, many of which are compatible
`with a wide-range of display configurations, including non-vertical displays.
`For instance I’ll point out that Kiraly mentions a liquid crystal device,
`and as we just saw, a liquid crystal device is implemented in Agulnick’s
`notebook computer, certainly not a vertical display device. Even
`Qualcomm’s expert, Dr. Wobbrock conceded that Kiraly’s display
`technology can be used in a tablet computer, which is another example of a
`non-vertical display orientation.
`So, why does this matter? It’s because gorilla arm syndrome is
`relevant, at most, to the question of implementing a touchscreen in a
`vertically-oriented display, and that’s not what we have in Kiraly.
`Slide 43, please. For non-vertical displays like portable displays,
`tablets and notebooks, Qualcomm’s own evidence demonstrates that
`touchscreens can perform well, and are not subject to gorilla arm syndrome.
`For instance, we discussed at length in our briefing two of
`Qualcomm’s exhibits, Exhibits 2004 and 2005, the Sears and Ahlstrom
`articles, both of these articles report experimental results that show that
`touchscreens, positioned at relatively low angles, are well liked and are
`comfortable to use.
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`So, Qualcomm’s own evidence destroys its argument that
`incorporating a touchscreen into Kiraly would have given rise to gorilla arm
`syndrome. Moreover, Qualcomm cited’ another article, the Wired article,
`which is Exhibit 2003, and the Wired article points out that even vertical
`touchscreens can sometimes be desirable, like in kiosks. So, even if Kiraly
`were to be read as somehow having some kind of vertical display
`requirements, and that would be wrong, there would still be situations in
`which a touchscreen would be compatible with Kiraly’s disclosure.
`Slide 52, please. I’d like now to talk about the feature in the claims
`that recites determining a magnitude of a touch, which is shown in the
`Petition that Kiraly and Agulnick make this feature obvious in a number of
`ways.
`Today I’d like to discuss just one, which is that it was obvious to
`determine stroke size, but I’d also like to point out that that any of the ways
`we advanced in the Petition is sufficient for us to show that Kiraly and
`Agulnick have met this feature of the claim, whereas, Qualcomm has to
`demonstrate flaws with every single one of the positions that we set forth for
`this feature.
`Slide 53, please. To understand why it was obvious to determine
`stroke size, let’s start by looking at Agulnick. Agulnick teaches that the size
`of a gesture can affect how the corresponding action is executed. And this is
`illustrated in the example of Agulnick’s scratch-out gesture. This is shown
`and described on the right-hand side of slide 53. The scratched-out gesture
`has the shape of a vertically-compressed Z, and it invokes a delete action.
`The size of the scratch-out gesture indicates which letters are to be deleted.
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`That is that the size of the gesture affects how the delete action is
`executed. As you can imagine having the size of a gesture, affect how the
`delete action is executed. As you can imagine having the size of a gesture
`affect its functionality is valuable in that it gives the user control over what
`the gesture does.
`Without size-dependent execution of this gesture, for example, how
`would a user be able to control the target of that delete action? The evidence
`shows that it was obvious to incorporate the size-dependent capability into
`the Kiraly/Agulnick combination, to retain the ability for the user to control
`their functionality of a gesture.
`Slide 54, please. Now, let’s turn to Kiraly. Kiraly, in the course of
`identifying a gesture, normalizes the gesture to take size out of
`consideration. And Qualcomm has argued that Kiraly, in its disclosure of
`normalization, somehow teaches away from any kind of use of size at all.
`But there’s a fundamental error in this argument, in that it conflates gesture
`identification with the distinct process of executing a corresponding action.
`Normalization for gesture identification does not preclude
`consideration of size for execution of an action. I’d just like to say that
`again. Normalization for gesture identification does not preclude
`consideration of size in the context of executing an action.
`Rather, size-dependent execution can be complementary to and
`subsequent to size independent gesture identification. And to demonstrate
`that this is true, let’s look again, at Agulnick’s scratch out gesture. As we
`said already, the scratch-out gesture invokes a delete action, and execution
`of that delete action depends on the size of the gesture. But identification of
`the gesture is not dependent on its size, two differently sized gestures, both
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`Case IPR2018-01245
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`shaped like vertically compressed Zs, will both be identified as scratch-out
`gestures, as Qualcomm’s expert has confirmed.
`So this indicates that Agulnick has contemplated some sort of size
`independent gesture identification process that occurs before the delete
`action is executed. So, the example of Agulnick’s scratch-out gesture,
`demonstrates the feasibility of first taking size out of consideration for
`identifying gestures. This is what Kiraly does with its normalization,
`While, second, still taking size into account for the subsequent
`execution of actions. That is, the evidence demonstrates the compatibility of
`Kiraly’s normalization process, with a complementary process of having
`size affect the execution of an action. This is a far cry from the teaching
`away that Qualcomm has alleged.
`JUDGE MOORE: Is there agreement that the magnitude in the claim
`can refer to the magnitude of anything?
`MS. DeVRIES: The magnitude in the claim refers to the magnitude
`of the touch of the (crosstalk) --
`JUDGE MOORE: But any aspect of the touch?
`MS. DeVRIES: It appears that magnitude is broad enough in the
`claim to cover nearly any type of magnitude. In claim 2, which is the
`dependent claim, a few examples of magnitudes are specified, and in the
`context of claim 2, in the specification we don’t believe that there’s a
`specific type of magnitude that’s required in claim 1.
`JUDGE MOORE: But does the specification shed any light on what
`magnitude means in the claim?
`MS. DeVRIES: The specification gives a list of some examples of
`magnitudes, it discusses stroke length, stroke area, stroke speed, the force of
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`Case IPR2018-01245
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`a touch on a surface, but there’s no definition of magnitude in the
`specification.
`JUDGE MOORE: Is there agreement between the parties of
`magnitude can be a magnitude of anything -- anything related to the stroke?
`MS. DeVRIES: I don’t think there’s been an explicit discussion on
`that point, but my understanding is Qualcomm, in regards to stroke size, is
`not contesting stroke size being a magnitude, they’re contesting the
`combinability of stroke size with Kiraly’s normalization process.
`JUDGE MOORE: Thank you.
`MS. DeVRIES: All right. Let’s turn to slide 63, please. Now, I’d
`like to turn to the motion to amend and discuss the set of substitute claims
`that Qualcomm has presented.
`Slide 64, please. The substitute claims introduced the idea that the
`identification of a gesture is based on a comparison with the collection of
`user gestures. Our briefing has addressed a number of issues with the
`substitute claims, but I’d like to focus here on just a few, in particular the
`obviousness of the claims over the art, and the non-responsiveness of claims
`6 and 8.
`We’ve introduced two new references here with regard to the
`substitute claims, Rojewski and Cortopassi, and these references apply, not
`only to features of the substitute claims, but they also apply well to many
`features of the existing claims, to the extent that we may have considered
`advancing grounds based on these references in the Petition had we had
`them available.
`Slide 69, please. We’ve shown first that all four substitute claims are
`unpatentable over Hullender and Rojewski. Interestingly, Qualcomm has
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`Case IPR2018-01245
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`not contested the substance of Rojewski’s applicability to the features of the
`substitute claims, or the articulated motivation for the combination.
`Slide 70 please. Qualcomm’s one and only argument against the
`application of Hullender and Rojewski to the substitute claims is this:
`Qualcomm frames Hullender’s principle of operation as relating to accurate
`gesture recognition, and claims the incorporation of Rojewski would destroy
`that principle of operation. This argument attempts to read into Hullender a
`supposed principle of operations that is far too narrow, and unsupported by
`Hullender’s disclosure.
`A principle of operation is something significant. The Federal Circuit
`has said in In re Mouttet that it can be a high-level ability of a system. And
`there’s no indication that accuracy rises to this level of significance in
`Hullender.
`Hullender addresses accuracy only once, in paragraph 62, that’s at the
`lower right of slide 70, and there it is aspirationally, accuracy is presented as
`a goal at best, there’s nothing more in Hullender to support Qualcomm’s
`attempt to elevate this goal into the significance of a principle of operation.
`So, Qualcomm has failed to even identify a reasonable principle of
`operation, and that’s the basis on which its single argument rests and is
`fundamentally flawed.
`JUDGE WIEKER: What would your position be regarding
`Hullender’s principle of operation?
`MS. DeVRIES: We believe that Hullender’s principle of operation
`relates to the computer-implemented recognition of gestures, and execution
`of actions. And we think this reflects a high-level ability of the system and
`it’s supported by the way that Hullender articulates its disclosure.
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`Case IPR2018-01245
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`Now, even if we accept accuracy, as Hullender’s principle of
`operation Qualcomm’s argument still fails because it has not demonstrated
`that Rojewski is incapable of accurate gesture of recognition.
`Slide 71, please. In fact, it’s worth noting that Rojewski is capable of
`accurate gesture recognition. Rojewski describes the use of its gestures in a
`digital security context, like for digital signatures. Now, you can’t rely on
`gestures to be used as digital signatures if you lack the ability to accurately
`identify those gestures, or at least you must be aiming for accuracy. And
`this is consistent with the aspirational role of accuracy, in Hullender’s
`system. So, even if Hullender’s principle of operation does relate to
`accuracy, there is still no indication that incorporating Rojewski would
`diminish the accuracy of the combination.
`Slide 72, please. Moreover, Rojewski brings yet other benefits to this
`combination, in terms of improved usability. For instance, Rojewski enables
`the pe

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