Apple receives a patent for screen control by eyeball tracking. What additional prior art can be found by an iterative Cluster Search?

Apple have recently recieved a patent US9189064 for control of a tablet by eyeball tracking. According to Business Insider, ‘this refers to your iPhone tracking where on the screen you’re looking — and delaying notifications until your gaze is fixed in the appropriate place.

This is an interesting patent, and also a chance to test the Cluster Searching patent search tool developed by Ambercite. Since the patent has been granted, we now have an independently created search report by the USPTO, found here

Cluster Searching works from a series of starting patents. In a lot of cases, searchers such as patent examiners might be starting from a search report for the PCT version of this patent – which in this case is WO2014039449.  This patent is published by WIPO with 7 patent citations, 4 of them supplied by Apple and more concerned with touch screens than eye control.

If we wanted to search for further prior art based on the WO patent alone, we might run a search based on the patent itself, and perhaps the examiner citations. We might put the rest of the cited art in the ‘hide from result box. And we would ask for patents filed before the September 2013 filing date of the WO patent, and ask for perhaps the 100 most similar patents.

The resulting query would look like this

WO2014039449-query.gif

 

The results would look like this, with . Of interest, the vast majority of the patents found are not directly linked to eye control of touch screens. but these ‘false positives’ are a fact of life in any patent search. Of these first five patents shown, the first two are related to eyeball control – and the other three are not. Normally our searches return a lower ‘false positive’ rate than this, but every search is different.

WO2014039449PatentsFound.gif

 

But what else is there? Patent titles in this case can be quite helpful, and so we scrolled through the results.Besides the first two mentioned patents, the patent ranked in 44th place was also interesting, being US7561143 Using gaze actions to interact with a display, filed by University of Arts (Philadelphia, US). This discloses:

The eye movement analyzer analyzes the eye movements for a sequence of gaze movements that indicate a gaze action which specifies an operation on the display.

US7561143-image.gif

 

Using iterative searching to expand your results set

We can further extend the search by copying the first two patent numbers, and the Gaze patent, in the search box. We can copy every other result we initially found into the “Enter patent numbers to hide box“, and so they will not be displayed again.

The search query now looks like this (note that only the top few ‘hide’ patents are shown):

New-Apple-Query.gif

 

 

The new results are shown below. Again not all patents are relevant, but many are – in fact, of these top 100 patents, 27 refer to eyeball tracking. 

We could stop here – or run one more iterative search by copying these 27 addtional into the Search box, and the reminder of these 100 patents into the hide box. This time the results look like this:

AppleGaze-third-iteration.gif

The top 5 patents all refer to gaze tracking, and so the majority of the other patents – for example US20110175932, Eye Tracker Based Contextual Action.

US20110175932-Image.gif

So as you can, we are working from just 4 patents disclosed we are rapidly building up a databset of relevant patents.  In fact, if we look at the results for all iterations, we have a database of 60 relevant patents in total

 

But which of these patents did the search reporf for US9189064 find?

Out of the 60 patents found by this three stages iterative approach, just 4 were also found in the USPTO search. And we have seen these divegence from conventional search before.  So by using a completely approach to conventional search, we end up with a completely different set of results – and if you are trying to produce the best possible search report, isn’t this what you want to see?

 

Want to try Cluster Searching for yourself?

Cluster Searching is a very fast and easy to use web application. Free demonstrations and confidential trials are available to qualified applicants – please contact us to arrange a short demonstration and trial. You may be surprised (and impressed) by just how much time and money you may save.

After the trial has finished, Cluster Searching is available to companies, organisations and individuals at a very competitive annual subscription – we are happy to discuss this in person.

 

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Cluster searching is now even faster and more efficient – Case study of new ‘ignore’ function

Since its release in 2015 Ambercite’s Cluster Searching tool has picked up a wide range of users around the world who are impressed by its ability to quickly find patents missed by conventional searching processes.

These users have also provided some very valuable feedback to Ambercite, and part of this feedback is that these users sometimes end up seeing patents they have already seen in previous searches. This can slow down the reviewing of the results that Cluster Searching provides,  and can be inefficient.

It is of course impossible to know what patents that our users have already seen – but they will probably know this themselves. For this reason Ambercite has just upgraded Cluster Searching with a new feature that allows users to ignore previously seen results from the results that Cluster Searching shows. This operates through a second data entry box, shown below.

IgnoreBox2.jpg

Patent numbers pasted into this box are ignored in our display of similar patents. It is possible to add up to 2000 patents into this box, and sometimes more in some cases.

Case study

Imagine you were asked to run a patentability search for a mirror for a bicycle helmet.

In this case we have no starting patents, but a keyword search in a more traditional patent search system for ((bicycle near helmet) and mirror) brought up 25 results. We reviewed these results, and found that the 13 of these patents were relevant to the invention. The other 12 were not relevant.

But have we missed any relevant patents? What else would Cluster Searching show us?

This is an easy question to answer. We simply enter the previously found but irrelevant patents into the ‘ignore’ box, and enter the five patents that we like into the normal data entry box. In this case we request the 50 most similar patents. The resulting query looks like this.


IgnoreBox3.jpg
 

The results look like this.

ClusterSearchingIgnoreResults.jpg


By definition, we have seen none of these patents before. These for example, include US5432960, filed for a Helmet mirror attachment, and found in 3rd place on our ranked list of results.

Bicycle-mirror.jpg
 

Yet this patent was missed by the first patent search. Why? This particular query was looking for a combination of bicycle near helmet and mirror, but in the patent the words helmet and bicycle were not found closely together. OK this reflects a flawed search strategy (in this very simple case study), but no search strategy is perfect, no matter how sophisticated – in the absence of hindsight that is.

In contrast Cluster Searching relies on the expertise and search strategies of all of the search reports conducted by the examiners in the field (as expressed by citation opinions) – so you are not reliant on just one search strategy. This greatly increases the chance of finding the patents you are looking for.

This is a perfect illustration of the value of Cluster Searching – which has now been enhanced by the ability to ignore previously found results.

 

Want to try Cluster Searching for yourself?

Cluster Searching is a very fast and easy to use web application. Free demonstrations and confidential trials are available to qualified applicants – please contact us to arrange a short demonstration and trial. You may be surprised (and impressed) by just how much time and money you may save.

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A simple case study of how Cluster Searching can find patents missed by conventional searching

A client recently asked ‘can you provide some examples where Cluster searching efficiently identified relevant citations, which were not identified using existing tools?’.

This is a great question. I was running a demonstration case the other day, and this was a perfect examples.

Being a demonstration case, we wanted to a simple invention, and this turned out be the concept of a surfboard carrier for a bicycle (Ambercite founder Doris Spielthenner is a keen surfer and cyclist).

surfboard--carrier.jpg

 

The search process

1) Using a widely used conventional search engine, we ran the following search query.

Search for, within the title or abstract=((bicycle* or bike or cycle) AND (surfboard*)) – and with a CPC cclass code of B62J*, where this class code means accessories peculiar to cycles including article carriers. 

This produced 28 patent families, of which we judged 21 to be highly relevant, i.e specifically disclosed a surfboard carrier for a bicycle.  While this is an excellent relevancy rate, most searchers would agree that this much better than normal.

2) We used these 21 patents families as the basis for a Cluster Search, and produced a list of the 50 most similar patents to these 21.

3) We then cross-checked these 50 patents against the 21 families  to check for duplicates, and the remaining patents assessed how many of these specifically disclosed surfboard carriers for bicycles.  There were 7 such patents.

So this was 7 patents which where not picked up by a conventional search. This is great of course, and justifies the value of cluster searching, but the real question is why?

This is best explained by the table below.

What additional patents did we find? 

Patent

Why was this missed by the original query?

Rank according to Cluster Searching

US4393986 – Surfboard carrying rack

US4393986.jpg

Used ‘two wheel vehicle” rather than bicycle in abstract, and picture is of motoycycle. However body of patent clearly notes that the invention is intended for bicycles rather than cycles

1

US4928863 – Bicycle rack for carrying sport boards

US4928863.jpg

 

Used the term ‘sport boards’ rather than surfboard in the abstract

2

US3338484 Load support means

US3338484.jpg

 

No published abstract (1965 patent)

5

US3827613 – Golf bag bicycle rack

US3827613.jpg

Referred to golf bag rather than surfboard. But the invention could easily be used to carry a surfboard

7

US4387836 – Golf bag carrier

US4387836.jpg

As above

10

US3329323 –  Overhead carrier for use with twowheeled vehicle

US3329323.jpg

No published abstract (1965 patent)

14

FR709781 – Véhicule pouvant servir au transport de bagages et autres applications

FR709781_20151202-235200_1.jpg

In French language, with no English language abstract

16

 

I think this table is interesting at it illuminates what Cluster Searching is trying to achieve – namely to challenge your assumptions on what the answers might be. For example in my preliminary search I had made some assumptions on that the invention might be, or what keywords would be relevant. But these results have come back with otjher ideas – and these other ideas might be exactly what I am looking for.

None of this is intended to provide reasons why you should not continue to use your preferred patent searching process – only that instead that Cluster Searching can provide a quick and useful second opinion that can extend your processes and results.

 

Overhead-surfboard-carrier.jpg

 

Want to try cluster Searching for yourself? 

Please contact us and we will be happy to provide a demonstration and free trial

 

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What is a “Super-Patent”? How would you analyse its litigation risk?

What is a super patent?

Back in 2008 Parchomovsky and Wagner published one of my favourite academic articles on patents, “Patent Portfolios‘, found here. In this paper they introduced the concept of a “Super-Patent”:

“..a collection of closely related patents defining a patent portfolio can be said to operate as a “super-patent” in much the same way that the holding of a U.S. patent grants the right to exclude others from the scope of its claims—the holding of a patent portfolio will allow the holder to exclude others from the collective scope of its claims. Where such patents are both (patentably) distinct yet cover coterminous subject matter,  the breadth of the right to exclude conferred by a patent portfolio is essentially the sum of the individual patent rights.

But the scale advantages of patent portfolios are more than merely additive. The broader protection conferred by patent portfolios offers a range of benefits to the holder different in kind as well as size from a simple collection of unrelated individual patents.” 

With the benefits including:

  • Freedom of movement to innnovate in new areas 
  • Encourage other innovator with work with the patent owners
  • Discourages litigation as it is hard to litigate against a whole portfolio of patents
  • Assists capital raising

 

How you would analyse the licensing potential and litigation risk of a Super-patent?

The recently developed patent searching tool Cluster Searching is ideal for analysing closely related portolios of patents, i.e. super-patents. As an example, consider the analysis just published by Dr Alex Lee of  TechIPm, of Boston. Dr Lee has used Cluster Searching to analyse what we might consider a ‘super-patent’ (portfolio) of patents for self-driving cars owned by Google – and use the results to predict litigation risks in the area.

Googleselfdrive.jpg

 

Dr Lee has published an number of similar articles, including on patents for smart homes, connected cars and NFC payments.

Ambercite has also published a number of similar assessment, including for a portfolio of high tech batteries, which demonstrates the Licensing Potential analysis available in . As can be seen in this examples, this is analysis is straight forward using Cluster Searching, and ideally suited for working with closely related groups of patents .i.e. “Super-patents”.

 

Want to try this for yourself?

Ambercite offers free and completely confidential two week trials to Cluster Searching – please contact us to arrange a demonstration and trial. Testimonials for Cluster Searching are found here, including:

Can be a fantastic tool for technical/IP in terms of opportunity finding and to establish the landscape; in terms of how active an area is already and who potentially owns patents in that area, including who files good patents in that area. It’s also good for company landscape searches, and indicating how strong competition is in a particular area” – IP manager, global manufacturing company.

 

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