InnoSummer project 8/2010: DIYSE

Background and Motivation

The Do-It-Yourself Smart Experience frame project (DIYSE) aims at enabling ordinary people to easily create, setup and control applications in their smart living environments as well as in the public Internet of Things space, allowing them to leverage aware services and smart objects for obtaining highly personalised, social, interactive, flowing experiences at home and in the city. More information on the DIYSE project can be found from the website: www.diyse.org.

VTT’s focus in the DIYSE project is on facilitating the configuration of various interactive devices into a comprehensive service for the focus group. The primary focus is on solutions for elderly and disabled people.

Demola Project Goal

The goal of DIYSE InnoSummer project is to acquire an improved understanding of the interaction techniques available in future mobile devices for inclusion in the “do-it-yourself” configuration of services. The subgoals include:

  • A state of the art overview of interaction technologies currently under development at various universities, research institutes and companies, that could play a significant role in changing the interaction techniques used with mobile devices in the future. The report will include an overview with references of these technologies and techniques, enhanced with examples of the changes interaction paradigms they enable.
  • A pilot implementation that involves a selected interaction technology and combines it with the DIYSE platform developed at VTT. The implementation will be done in cooperation with VTT and a light evaluation will be performed.

Development tools, environments and standards

The report will be produced using Microsoft Office tools; Word and Powerpoint, whichever found most suitable for the task at hand. The tools needed for the pilot implementation will be chosen when the pilot and the interaction technology has been defined in more detail. The VTT DIYSE environment will most likely use the Smart M3 environment, which is available partly as open source.

I see red

Good ideas from harnessing the awesome collective innovation powers of Demola. And so much for the good news. Object detection is still far too slow, not to mention gesture tracking. Unless of course you do slow motion gestures. Probably moving on to color detection next week, maybe that works a bit faster. Or not.

Moving forward

Installing Windows, installing Ubuntu, installing all the rest of the world. Webcam, opencv, qt (maybe), about 2 second lag with the webcam, laptop about to catch fire every time the cam is started.

Fun, excitement, danger, glamor; all the things one can experience in IS2010 project 8.

In plain English, let's see what we can do with opencv and gesture tracking.

Story so far

So apparently I've now got myself a project. Gr8.

To briefly sum up events so far, it has mostly been studying new cool stuff. Meaning that for the previous weeks I've been mostly eating research papers. At some point this week we'll be deciding the direction for the next phase of this thing, more about that later.

Status: 
started