- From: Alex Hill <ahill@gatech.edu>
- Date: Wed, 1 Sep 2010 10:01:07 -0400
- To: roBman@mob-labs.com
- Cc: public-poiwg@w3.org
- Message-Id: <4497E2BE-7962-4AB2-8BDE-0953189909BC@gatech.edu>
If I understand correctly, you are suggesting that "triggers" should be formulated in a flexible pattern language that can deal with and respond to any form of sensor data.
This would be in contrast to the strictly defined "onClick" type of events in JavaScript or the existing VRML trigger types such as CylinderSensor [1].
I think this idea has merit and agree that some significant flexibility in the way authors deal with the multiple visual and mechanical sensors at their disposal is vital to creating compelling AR content.
However, the flexibility that this approach would give, seems at first glance, to take away some of the ease of authoring that "baked" in inputs/triggers give.
And, I it is not obvious to me now how one incorporates more general computation into this model.
Take the aforementioned CylinderSensor; how would you describe the behavior of this trigger using patterns of interest?
While there may be standards that will eventually support this (i.e. the W3C Sensor Incubator Group [2]), I wonder if this type of "sensor filtering language" is beyond our scope.
The second main point you make is that we should reconsider the request-response nature of the internet in the AR context.
Again, this is an important idea and one worth seriously considering.
But in a similar fashion to my concerns about pattern of interest filtering, I worry that this circumvents an existing model that has merit.
The data-trigger-response-representation model you suggest already happens routinely in rich Web 2.0 applications.
The difference is that it happens under the programatic control of the author where they have access to a multitude of libraries and resources (i.e. jQuery, database access, hardware, user settings, etc.)
(this point is related to another thread about (data)<>-(criteria) [3] where I agree with Jens that we are talking about multiple data-trigger-reponses)
I may need some tutoring on what developing standards means, but in my view, things like ECMA scripting are an unavoidable part of complex interactivity.
Perhaps you can give an example where the cutoff between the current request-response model ends and automatic data-POI-response-presentation begins?
On Aug 20, 2010, at 10:19 AM, Rob Manson wrote:
> Hi,
>
> great to see we're onto the "Next Steps" and we seem to be discussing
> pretty detailed structures now 8) So I'd like to submit the following
> proposal for discussion. This is based on our discussion so far and the
> ideas I think we have achieved some resolution on.
>
> I'll look forward to your replies...
>
> roBman
>
> PS: I'd be particularly interested to hear ideas from the linked data
> and SSN groups on what parts of their existing work can improve this
> model and how they think it could be integrated.
>
>
>
> What is this POI proposal?
> A simple extension to the "request-response" nature of the HTTP protocol
> to define a distributed Open AR (Augmented Reality) system.
> This sensory based pattern recognition system is simply a structured
> "request-response-link-request-response" chain. In this chain the link
> is a specific form of transformation.
>
> It aims to extend the existing web to be sensor aware and automatically
> event driven while encouraging the presentation layer to adapt to
> support dynamic spatialised information more fluidly.
>
> One of the great achievements of the web has been the separation of data
> and presentation. The proposed Open AR structure extends this to
> separate out: sensory data, triggers, response data and presentation.
>
> NOTE1: There are a wide range of serialisation options that could be
> supported and many namespaces and data structures/ontologies that can be
> incorporated (e.g. Dublin Core, geo, etc.). The focus of this proposal
> is purely at a systemic "value chain" level. It is assumed that the
> definition of serialisation formats, namespace support and common data
> structures would make up the bulk of the work that the working group
> will collaboratively define. The goal here is to define a structure
> that enables this to be easily extended in defined and modular ways.
>
> NOTE2: The example JSON-like data structures outlined below are purely
> to convey the proposed concepts. They are not intended to be realised
> in this format at all and there is no attachment at this stage to JSON,
> XML or any other representational format. They are purely conceptual.
>
> This proposal is based upon the following structural evolution of
> devices and client application models:
>
> PC Web Browser (Firefox, MSIE, etc.):
> mouse -> sensors -> dom -> data
> keyboard -> -> presentation
>
> Mobile Web Browser (iPhone, Android, etc.):
> gestures -> sensors -> dom -> data
> keyboard -> -> presentation
>
> Mobile AR Browser (Layar, Wikitude, Junaio, etc.):
> gestures -> sensors -> custom app -> presentation [*custom]
> keyboard -> -> data [*custom]
> camera ->
> gps ->
> compass ->
>
> Open AR Browser (client):
> mouse -> sensors -> triggers -> dom -> presentation
> keyboard -> -> data
> camera ->
> gps ->
> compass ->
> accelerom. ->
> rfid ->
> ir ->
> proximity ->
> motion ->
>
> NOTE3: The key next step from Mobile AR to Open AR is the addition of
> many more sensor types, migrating presentation and data to open web
> based standards and the addition of triggers. Triggers are explicit
> links from a pattern to 0 or more actions (web requests).
>
> Here is a brief description of each of the elements in this high level
> value chain.
>
> clients:
> - handle events and request sensory data then filter and link it to 0 or
> more actions (web requests)
> - clients can cache trigger definitions locally or request them from one
> or more services that match one or more specific patterns.
> - clients can also cache response data and presentation states.
> - since sensory data, triggers and response data are simply HTTP
> responses all of the normal cache control structures are already in
> place.
>
> infrastructure (The Internet Of Things):
> - networked and directly connected sensors and devices that support the
> Patterns Of Interest specification/standard
>
>
> patterns of interest:
> The standard HTTP request response processing chain can be seen as:
>
> event -> request -> response -> presentation
>
> The POI (Pattern Of Interest) value chain is slightly extended.
> The most common Mobile AR implementation of this is currently:
>
> AR App event -> GPS reading -> get nearby info request -> Points Of Interest response -> AR presentation
>
> A more detailed view clearly splits events into two to create possible
> feedback loops. It also splits the request into sensor data and trigger:
>
> +- event -+ +-------+-- event --+
> sensor data --+-> trigger -> response data -> presentation -+
>
> - this allows events that happen at both the sensory and presentation
> ends of the chain.
> - triggers are bundles that link a pattern to one or more actions (web
> requests).
> - events at the sensor end request sensory data and filter it to find
> patterns that trigger or link to actions.
> - these triggers or links can also fire other events that load more
> sensory data that is filtered and linked to actions, etc.
> - actions return data that can then be presented. As per standard web
> interactions supported formats can be defined by the requesting client.
> - events on the presentation side can interact with the data or the
> presentation itself.
>
> sensory data:
> Simple (xml/json/key-value) representations of sensors and their values
> at a point in time. These are available via URLs/HTTP requests
> e.g. sensors can update these files on change, at regular intervals or
> serve them dynamically.
> {
> HEAD : {
> date_recorded : "Sat Aug 21 00:10:39 EST 2010",
> source_url : "url"
> },
> BODY : {
> gps : { // based on standard geo data structures
> latitude : "n.n",
> longitude : "n,n",
> altitude : "n",
> },
> compass : {
> orientation : "n"
> },
> camera : {
> image : "url",
> stream : "url"
> }
> }
> }
> NOTE: All sensor values could be presented inline or externally via a
> source URL which could then also reference streams.
>
> trigger:
> structured (xml/json/key-value) filter that defines a pattern and links
> it to 0 or more actions (web requests)
> [
> HEAD : {
> date_created : "Sat Aug 21 00:10:39 EST 2010",
> author : "roBman@mob-labs.com",
> last_modified : "Sat Aug 21 00:10:39 EST 2010"
> },
> BODY : {
> pattern : {
> gps : [
> {
> name : "iphone",
> id : "01",
> latitude : {
> value : "n.n"
> },
> longitude : {
> value : "n.n"
> },
> altitude : {
> value : "n.n"
> }
> },
> // NOTE: GPS value patterns could have their own ranges defined
> // but usually the client will just set it's own at the filter level
> // range : "n",
> // range_format : "metres"
> // This is an area where different client applications can add their unique value
> ],
> cameras : [
> {
> name : "home",
> id : "03",
> type : "opencv_haar_cascade"
> pattern : {
> ...
> }
> }
> ]
> },
> actions : [
> {
> url : "url",
> data : {..}, // Support for referring to sensor values $sensors.gps.latitude & $sensors.compass.orientation
> method : "POST"
> },
> ]
> }
> ]
>
> data
> HTTP Responses
>
> presentation
> client rendered HTML/CSS/JS/RICH MEDIA (e.g. Images, 3D, Video, Audio,
> etc.)
>
>
>
> At least the following roles are supported as extensions of today's
> common "web value chain" roles.
>
> publishers:
> - define triggers that map specific sensor data patterns to
> useful actions (web requests)
> - manage the acl to drive traffic in exchange for value creation
> - customise the client apps and content to create compelling
> experiences
>
> developers:
> - create sensor bundles people can buy and install in their own
> environment
> - create server applications that allow publishers to register
> and manage triggers
> - enable the publishers to make their triggers available to an
> open or defined set of clients
> - create the web applications that receive the final actions
> (web requests)
> - create the clients applications that handle events and map
> sensor data to requests through triggers (Open AR browsers)
>
[1] http://www.web3d.org/x3d/wiki/index.php/CylinderSensor
[2] http://www.w3.org/2005/Incubator/ssn/charter
[3]
Received on Wednesday, 1 September 2010 14:01:28 UTC